mirror of
https://github.com/nubenetes/awesome-kubernetes.git
synced 2026-07-12 18:00:37 +00:00
3686 lines
125 KiB
HTML
3686 lines
125 KiB
HTML
|
||
<!doctype html>
|
||
<html lang="en" class="no-js">
|
||
<head>
|
||
|
||
<meta charset="utf-8">
|
||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||
|
||
<meta name="description" content="Enterprise-grade curated portal for the modern Cloud Native ecosystem. High-density, AI-driven selection of top-tier resources.">
|
||
|
||
|
||
<meta name="author" content="Nubenetes">
|
||
|
||
|
||
<link rel="canonical" href="https://nubenetes.com/ai/">
|
||
|
||
|
||
<link rel="prev" href="../ai-agents-mcp/">
|
||
|
||
|
||
<link rel="next" href="../chatgpt/">
|
||
|
||
|
||
|
||
|
||
|
||
<link rel="icon" href="../images/favicon-ultra.png">
|
||
<meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.7.6">
|
||
|
||
|
||
|
||
<title>AI - Nubenetes V2 | The AI's Cut</title>
|
||
|
||
|
||
|
||
<link rel="stylesheet" href="../assets/stylesheets/main.484c7ddc.min.css">
|
||
|
||
|
||
<link rel="stylesheet" href="../assets/stylesheets/palette.ab4e12ef.min.css">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
|
||
<style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
|
||
|
||
|
||
|
||
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700&display=swap">
|
||
|
||
<link rel="stylesheet" href="../static/extra.css">
|
||
|
||
<link rel="stylesheet" href="../static/v2_elite.css?v=2.3.44">
|
||
|
||
<script>__md_scope=new URL("..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
|
||
|
||
|
||
|
||
|
||
|
||
</head>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<body dir="ltr" data-md-color-scheme="slate" data-md-color-primary="custom" data-md-color-accent="custom">
|
||
|
||
|
||
<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
|
||
<input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
|
||
<label class="md-overlay" for="__drawer"></label>
|
||
<div data-md-component="skip">
|
||
|
||
|
||
<a href="#artificial-intelligence" class="md-skip">
|
||
Skip to content
|
||
</a>
|
||
|
||
</div>
|
||
<div data-md-component="announce">
|
||
|
||
</div>
|
||
|
||
<div data-md-color-scheme="default" data-md-component="outdated" hidden>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<header class="md-header md-header--shadow md-header--lifted" data-md-component="header">
|
||
<nav class="md-header__inner md-grid" aria-label="Header">
|
||
<a href=".." title="Nubenetes V2 | The AI's Cut" class="md-header__button md-logo" aria-label="Nubenetes V2 | The AI's Cut" data-md-component="logo">
|
||
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54"/></svg>
|
||
|
||
</a>
|
||
<label class="md-header__button md-icon" for="__drawer">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3zm0 5h18v2H3zm0 5h18v2H3z"/></svg>
|
||
</label>
|
||
<div class="md-header__title" data-md-component="header-title">
|
||
<div class="md-header__ellipsis">
|
||
<div class="md-header__topic">
|
||
<span class="md-ellipsis">
|
||
Nubenetes V2 | The AI's Cut
|
||
</span>
|
||
</div>
|
||
<div class="md-header__topic" data-md-component="header-topic">
|
||
<span class="md-ellipsis">
|
||
|
||
AI
|
||
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
<form class="md-header__option" data-md-component="palette">
|
||
|
||
|
||
|
||
|
||
<input class="md-option" data-md-color-media="" data-md-color-scheme="slate" data-md-color-primary="custom" data-md-color-accent="custom" aria-label="Switch to light mode" type="radio" name="__palette" id="__palette_0">
|
||
|
||
<label class="md-header__button md-icon" title="Switch to light mode" for="__palette_1" hidden>
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 1 3 5v6c0 5.55 3.84 10.74 9 12 5.16-1.26 9-6.45 9-12V5z"/></svg>
|
||
</label>
|
||
|
||
|
||
|
||
|
||
|
||
<input class="md-option" data-md-color-media="" data-md-color-scheme="default" data-md-color-primary="custom" data-md-color-accent="custom" aria-label="Switch to dark mode" type="radio" name="__palette" id="__palette_1">
|
||
|
||
<label class="md-header__button md-icon" title="Switch to dark mode" for="__palette_0" hidden>
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M21 11c0 5.55-3.84 10.74-9 12-5.16-1.26-9-6.45-9-12V5l9-4 9 4zm-9 10c3.75-1 7-5.46 7-9.78V6.3l-7-3.12L5 6.3v4.92C5 15.54 8.25 20 12 21m-3-6.67c1.76 2.17 5.13 2.24 6.97.07.23-.27.08-.68-.26-.74a4.5 4.5 0 0 1-3.18-2.2 4.5 4.5 0 0 1-.32-3.86.453.453 0 0 0-.51-.6c-3.34.62-4.89 4.61-2.7 7.33"/></svg>
|
||
</label>
|
||
|
||
|
||
</form>
|
||
|
||
|
||
|
||
<script>var palette=__md_get("__palette");if(palette&&palette.color){if("(prefers-color-scheme)"===palette.color.media){var media=matchMedia("(prefers-color-scheme: light)"),input=document.querySelector(media.matches?"[data-md-color-media='(prefers-color-scheme: light)']":"[data-md-color-media='(prefers-color-scheme: dark)']");palette.color.media=input.getAttribute("data-md-color-media"),palette.color.scheme=input.getAttribute("data-md-color-scheme"),palette.color.primary=input.getAttribute("data-md-color-primary"),palette.color.accent=input.getAttribute("data-md-color-accent")}for(var[key,value]of Object.entries(palette.color))document.body.setAttribute("data-md-color-"+key,value)}</script>
|
||
|
||
|
||
|
||
|
||
|
||
<label class="md-header__button md-icon" for="__search">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.52 6.52 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5"/></svg>
|
||
</label>
|
||
<div class="md-search" data-md-component="search" role="dialog">
|
||
<label class="md-search__overlay" for="__search"></label>
|
||
<div class="md-search__inner" role="search">
|
||
<form class="md-search__form" name="search">
|
||
<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
|
||
<label class="md-search__icon md-icon" for="__search">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.52 6.52 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5"/></svg>
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11z"/></svg>
|
||
</label>
|
||
<nav class="md-search__options" aria-label="Search">
|
||
|
||
<a href="javascript:void(0)" class="md-search__icon md-icon" title="Share" aria-label="Share" data-clipboard data-clipboard-text="" data-md-component="search-share" tabindex="-1">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M18 16.08c-.76 0-1.44.3-1.96.77L8.91 12.7c.05-.23.09-.46.09-.7s-.04-.47-.09-.7l7.05-4.11c.54.5 1.25.81 2.04.81a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3c0 .24.04.47.09.7L8.04 9.81C7.5 9.31 6.79 9 6 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3c.79 0 1.5-.31 2.04-.81l7.12 4.15c-.05.21-.08.43-.08.66 0 1.61 1.31 2.91 2.92 2.91s2.92-1.3 2.92-2.91A2.92 2.92 0 0 0 18 16.08"/></svg>
|
||
</a>
|
||
|
||
<button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12z"/></svg>
|
||
</button>
|
||
</nav>
|
||
|
||
<div class="md-search__suggest" data-md-component="search-suggest"></div>
|
||
|
||
</form>
|
||
<div class="md-search__output">
|
||
<div class="md-search__scrollwrap" tabindex="0" data-md-scrollfix>
|
||
<div class="md-search-result" data-md-component="search-result">
|
||
<div class="md-search-result__meta">
|
||
Initializing search
|
||
</div>
|
||
<ol class="md-search-result__list" role="presentation"></ol>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-header__source">
|
||
<a href="https://github.com/nubenetes/awesome-kubernetes" title="Go to repository" class="md-source" data-md-component="source">
|
||
<div class="md-source__icon md-icon">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M439.6 236.1 244 40.5c-5.4-5.5-12.8-8.5-20.4-8.5s-15 3-20.4 8.4L162.5 81l51.5 51.5c27.1-9.1 52.7 16.8 43.4 43.7l49.7 49.7c34.2-11.8 61.2 31 35.5 56.7-26.5 26.5-70.2-2.9-56-37.3L240.3 199v121.9c25.3 12.5 22.3 41.8 9.1 55-6.4 6.4-15.2 10.1-24.3 10.1s-17.8-3.6-24.3-10.1c-17.6-17.6-11.1-46.9 11.2-56v-123c-20.8-8.5-24.6-30.7-18.6-45L142.6 101 8.5 235.1C3 240.6 0 247.9 0 255.5s3 15 8.5 20.4l195.6 195.7c5.4 5.4 12.7 8.4 20.4 8.4s15-3 20.4-8.4l194.7-194.7c5.4-5.4 8.4-12.8 8.4-20.4s-3-15-8.4-20.4"/></svg>
|
||
</div>
|
||
<div class="md-source__repository">
|
||
nubenetes/awesome-kubernetes
|
||
</div>
|
||
</a>
|
||
</div>
|
||
|
||
</nav>
|
||
|
||
|
||
|
||
<nav class="md-tabs" aria-label="Tabs" data-md-component="tabs">
|
||
<div class="md-grid">
|
||
<ul class="md-tabs__list">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="https://nubenetes.com/v1/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
🔙 Back to V1 (Exhaustive)
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href=".." class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
The 2026 Vision
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../tags/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Technical Tags
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../videos/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Agentic Video Hub
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item md-tabs__item--active">
|
||
<a href="../ai-agents-mcp/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
AI
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../about/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Architectural Foundations
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../chaos-engineering/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Platform & Site Reliability
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../ansible/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Hardened Infrastructure
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../GoogleCloudPlatform/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Cloud Providers (Hyperscalers)
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../caching/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Networking & Service Mesh
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../container-managers/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
The Container Stack
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../crunchydata/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Data & Advanced Analytics
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../argo/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Engineering Pipeline
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../ChromeDevTools/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Developer Ecosystem
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-tabs__item">
|
||
<a href="../appointment-scheduling/" class="md-tabs__link">
|
||
|
||
|
||
|
||
|
||
|
||
Career & Industry
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</div>
|
||
</nav>
|
||
|
||
|
||
</header>
|
||
|
||
<div class="md-container" data-md-component="container">
|
||
|
||
|
||
|
||
|
||
<main class="md-main" data-md-component="main">
|
||
<div class="md-main__inner md-grid">
|
||
|
||
|
||
|
||
<div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
|
||
<div class="md-sidebar__scrollwrap">
|
||
<div class="md-sidebar__inner">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<nav class="md-nav md-nav--primary md-nav--lifted md-nav--integrated" aria-label="Navigation" data-md-level="0">
|
||
<label class="md-nav__title" for="__drawer">
|
||
<a href=".." title="Nubenetes V2 | The AI's Cut" class="md-nav__button md-logo" aria-label="Nubenetes V2 | The AI's Cut" data-md-component="logo">
|
||
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54"/></svg>
|
||
|
||
</a>
|
||
Nubenetes V2 | The AI's Cut
|
||
</label>
|
||
|
||
<div class="md-nav__source">
|
||
<a href="https://github.com/nubenetes/awesome-kubernetes" title="Go to repository" class="md-source" data-md-component="source">
|
||
<div class="md-source__icon md-icon">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M439.6 236.1 244 40.5c-5.4-5.5-12.8-8.5-20.4-8.5s-15 3-20.4 8.4L162.5 81l51.5 51.5c27.1-9.1 52.7 16.8 43.4 43.7l49.7 49.7c34.2-11.8 61.2 31 35.5 56.7-26.5 26.5-70.2-2.9-56-37.3L240.3 199v121.9c25.3 12.5 22.3 41.8 9.1 55-6.4 6.4-15.2 10.1-24.3 10.1s-17.8-3.6-24.3-10.1c-17.6-17.6-11.1-46.9 11.2-56v-123c-20.8-8.5-24.6-30.7-18.6-45L142.6 101 8.5 235.1C3 240.6 0 247.9 0 255.5s3 15 8.5 20.4l195.6 195.7c5.4 5.4 12.7 8.4 20.4 8.4s15-3 20.4-8.4l194.7-194.7c5.4-5.4 8.4-12.8 8.4-20.4s-3-15-8.4-20.4"/></svg>
|
||
</div>
|
||
<div class="md-source__repository">
|
||
nubenetes/awesome-kubernetes
|
||
</div>
|
||
</a>
|
||
</div>
|
||
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="https://nubenetes.com/v1/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
🔙 Back to V1 (Exhaustive)
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href=".." class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
The 2026 Vision
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../tags/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Technical Tags
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../videos/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Agentic Video Hub
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested">
|
||
|
||
|
||
|
||
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5" checked>
|
||
|
||
|
||
<label class="md-nav__link" for="__nav_5" id="__nav_5_label" tabindex="">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
AI
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_5_label" aria-expanded="true">
|
||
<label class="md-nav__title" for="__nav_5">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
|
||
AI
|
||
|
||
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../ai-agents-mcp/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
AI Agents MCP
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--active">
|
||
|
||
<input class="md-nav__toggle md-toggle" type="checkbox" id="__toc">
|
||
|
||
|
||
|
||
|
||
|
||
<label class="md-nav__link md-nav__link--active" for="__toc">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
AI
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<a href="./" class="md-nav__link md-nav__link--active">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
AI
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
|
||
|
||
|
||
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<label class="md-nav__title" for="__toc">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
Table of contents
|
||
</label>
|
||
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#table-of-contents" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Table of Contents
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-and-orchestration" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI and Orchestration
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI and Orchestration">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#agentic-workflows" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Agentic Workflows
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Agentic Workflows">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#command-line-tools" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Command-Line Tools
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI Engineering">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#model-context-protocol" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Model Context Protocol
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Model Context Protocol">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#awesome-lists" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Awesome Lists
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#architectural-foundations" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Architectural Foundations
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Architectural Foundations">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#kubernetes-tools" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Kubernetes Tools
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Kubernetes Tools">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#general-reference" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
General Reference
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#artificial-intelligence-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Artificial Intelligence (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Artificial Intelligence (1)">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-strategy" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Strategy
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI Strategy">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#business-alignment" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Business Alignment
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ecosystem-landscapes" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Ecosystem Landscapes
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ecosystem-partnerships" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Ecosystem Partnerships
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#hybrid-cloud-infrastructure" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Hybrid Cloud Infrastructure
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#socio-technical-impact" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Socio-Technical Impact
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#deep-learning" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Deep Learning
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Deep Learning">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#large-language-models" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Large Language Models
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#generative-ai-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Generative AI Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Generative AI Engineering">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#api-integration-patterns" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
API Integration Patterns
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#architecture-patterns" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Architecture Patterns
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#audio-and-speech-synthesis" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Audio and Speech Synthesis
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#transformer-implementations" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Transformer Implementations
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#llmops-and-mlops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
LLMOps and MLOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="LLMOps and MLOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#curated-ecosystems" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Curated Ecosystems
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#strategy-and-pipelines" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Strategy and Pipelines
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#large-language-models-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Large Language Models (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Large Language Models (1)">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#evaluation-and-safety" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Evaluation and Safety
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#industry-use-cases" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Industry Use Cases
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#llm-primers" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
LLM Primers
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#structured-curriculums" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Structured Curriculums
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#transformer-architecture" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Transformer Architecture
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#machine-learning-and-deep-learning-fundamentals" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Machine Learning and Deep Learning Fundamentals
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Machine Learning and Deep Learning Fundamentals">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-primer" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Primer
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#career-strategy" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Career Strategy
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#foundational-handbook" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Foundational Handbook
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#neural-network-architectures" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Neural Network Architectures
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#structured-curriculums-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Structured Curriculums (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#artificial-intelligence-and-llms" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Artificial Intelligence and LLMs
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Artificial Intelligence and LLMs">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#prompt-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Prompt Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Prompt Engineering">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#developer-productivity" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Developer Productivity
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cloud-infrastructure" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Cloud Infrastructure
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Cloud Infrastructure">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cicd-and-devops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
CICD and DevOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="CICD and DevOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#devsecops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
DevSecOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#infrastructure-as-code" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Infrastructure as Code
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Infrastructure as Code">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#compliance-auditing" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Compliance Auditing
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cloud-native-operations" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Cloud Native Operations
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Cloud Native Operations">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-aiops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI AIOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI AIOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#kubernetes-troubleshooting" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Kubernetes Troubleshooting
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-powered-operations-aiops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI-Powered Operations AIOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI-Powered Operations AIOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#kubernetes-troubleshooting-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Kubernetes Troubleshooting (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#infrastructure-as-code-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Infrastructure as Code (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Infrastructure as Code (1)">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-assisted-iac" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI-Assisted IaC
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#kubernetes-orchestration" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Kubernetes Orchestration
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Kubernetes Orchestration">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-workloads-on-k8s" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Workloads on K8s
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#computer-vision" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Computer Vision
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Computer Vision">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#deep-learning-research" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Deep Learning Research
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Deep Learning Research">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cvpr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
CVPR
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#generative-ai" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Generative AI
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ml-notebooks" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
ML Notebooks
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#devops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
DevOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="DevOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#automation" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Automation
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Automation">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#education-tooling" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Education Tooling
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#developer-experience" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Developer Experience
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Developer Experience">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-assisted-coding" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI-Assisted Coding
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI-Assisted Coding">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#claude-code" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Claude Code
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#developer-productivity-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Developer Productivity (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Developer Productivity (1)">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ides" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
IDEs
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="IDEs">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#cursor" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Cursor
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#developer-tooling" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Developer Tooling
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Developer Tooling">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-code-assistants" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Code Assistants
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI Code Assistants">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#prompt-templates" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Prompt Templates
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#enterprise-architecture" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Enterprise Architecture
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Enterprise Architecture">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#aiops-and-observability" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AIOps and Observability
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AIOps and Observability">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#incident-response" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Incident Response
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#site-reliability-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Site Reliability Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#strategic-it-ops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Strategic IT Ops
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#finops-and-cloud-cost" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
FinOps and Cloud Cost
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="FinOps and Cloud Cost">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#iac-finops" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
IaC FinOps
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="IaC FinOps">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-optimization" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Optimization
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#kubernetes-and-platform-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Kubernetes and Platform Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Kubernetes and Platform Engineering">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#platform-engineering-trends" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Platform Engineering Trends
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Platform Engineering Trends">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-integration" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI Integration
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#software-engineering" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Software Engineering
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Software Engineering">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#ai-assisted-development" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
AI-Assisted Development
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="AI-Assisted Development">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#github-copilot" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
GitHub Copilot
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#industry-impact" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Industry Impact
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#next-gen-platforms" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Next-Gen Platforms
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#database-management" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Database Management
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Database Management">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#model-context-protocol-1" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Model Context Protocol (1)
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#professional-development" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Professional Development
|
||
|
||
</span>
|
||
</a>
|
||
|
||
<nav class="md-nav" aria-label="Professional Development">
|
||
<ul class="md-nav__list">
|
||
|
||
<li class="md-nav__item">
|
||
<a href="#core-architectures" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
|
||
Core Architectures
|
||
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
</ul>
|
||
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../chatgpt/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
ChatGPT
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../mlops/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
MLOps
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../about/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Architectural Foundations
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../chaos-engineering/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Platform & Site Reliability
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../ansible/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Hardened Infrastructure
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../GoogleCloudPlatform/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Cloud Providers (Hyperscalers)
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../caching/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Networking & Service Mesh
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../container-managers/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
The Container Stack
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../crunchydata/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Data & Advanced Analytics
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../argo/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Engineering Pipeline
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../ChromeDevTools/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Developer Ecosystem
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--pruned md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="../appointment-scheduling/" class="md-nav__link">
|
||
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
|
||
|
||
Career & Industry
|
||
|
||
|
||
|
||
</span>
|
||
|
||
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
</a>
|
||
|
||
|
||
|
||
</li>
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="md-content" data-md-component="content">
|
||
|
||
<article class="md-content__inner md-typeset">
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://github.com/nubenetes/awesome-kubernetes/edit/master/v2-docs/ai.md" title="Edit this page" class="md-content__button md-icon" rel="edit">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4zm10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1z"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://github.com/nubenetes/awesome-kubernetes/raw/master/v2-docs/ai.md" title="View source of this page" class="md-content__button md-icon">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17 18c.56 0 1 .44 1 1s-.44 1-1 1-1-.44-1-1 .44-1 1-1m0-3c-2.73 0-5.06 1.66-6 4 .94 2.34 3.27 4 6 4s5.06-1.66 6-4c-.94-2.34-3.27-4-6-4m0 6.5a2.5 2.5 0 0 1-2.5-2.5 2.5 2.5 0 0 1 2.5-2.5 2.5 2.5 0 0 1 2.5 2.5 2.5 2.5 0 0 1-2.5 2.5M9.27 20H6V4h7v5h5v4.07c.7.08 1.36.25 2 .49V8l-6-6H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h4.5a8.2 8.2 0 0 1-1.23-2"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
<h1 id="artificial-intelligence">Artificial Intelligence<a class="headerlink" href="#artificial-intelligence" title="Permanent link">¶</a></h1>
|
||
<div class="admonition tip">
|
||
<p class="admonition-title">Nubenetes V2 Elite Portal</p>
|
||
<p>You are browsing the AI-Curated V2 Elite Edition. Looking for the exhaustive list of references? Check out the <a href="/v1/ai/"><strong>V1 Historical Archive</strong></a>.</p>
|
||
</div>
|
||
<div class="admonition info">
|
||
<p class="admonition-title">Architectural Context</p>
|
||
<p>Detailed reference for Artificial Intelligence in the context of AI.</p>
|
||
</div>
|
||
<h2 id="table-of-contents">Table of Contents<a class="headerlink" href="#table-of-contents" title="Permanent link">¶</a></h2>
|
||
<ol>
|
||
<li><a href="#ai-and-orchestration">AI and Orchestration</a></li>
|
||
<li><a href="#agentic-workflows">Agentic Workflows</a><ul>
|
||
<li><a href="#command-line-tools">Command-Line Tools</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#ai-engineering">AI Engineering</a></li>
|
||
<li><a href="#model-context-protocol">Model Context Protocol</a><ul>
|
||
<li><a href="#awesome-lists">Awesome Lists</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#architectural-foundations">Architectural Foundations</a></li>
|
||
<li><a href="#kubernetes-tools">Kubernetes Tools</a><ul>
|
||
<li><a href="#general-reference">General Reference</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#artificial-intelligence-1">Artificial Intelligence</a></li>
|
||
<li><a href="#ai-strategy">AI Strategy</a><ul>
|
||
<li><a href="#business-alignment">Business Alignment</a></li>
|
||
<li><a href="#ecosystem-landscapes">Ecosystem Landscapes</a></li>
|
||
<li><a href="#ecosystem-partnerships">Ecosystem Partnerships</a></li>
|
||
<li><a href="#hybrid-cloud-infrastructure">Hybrid Cloud Infrastructure</a></li>
|
||
<li><a href="#socio-technical-impact">Socio-Technical Impact</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#deep-learning">Deep Learning</a><ul>
|
||
<li><a href="#large-language-models">Large Language Models</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#generative-ai-engineering">Generative AI Engineering</a><ul>
|
||
<li><a href="#api-integration-patterns">API Integration Patterns</a></li>
|
||
<li><a href="#architecture-patterns">Architecture Patterns</a></li>
|
||
<li><a href="#audio-and-speech-synthesis">Audio and Speech Synthesis</a></li>
|
||
<li><a href="#transformer-implementations">Transformer Implementations</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#llmops-and-mlops">LLMOps and MLOps</a><ul>
|
||
<li><a href="#curated-ecosystems">Curated Ecosystems</a></li>
|
||
<li><a href="#strategy-and-pipelines">Strategy and Pipelines</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#large-language-models-1">Large Language Models</a><ul>
|
||
<li><a href="#evaluation-and-safety">Evaluation and Safety</a></li>
|
||
<li><a href="#industry-use-cases">Industry Use Cases</a></li>
|
||
<li><a href="#llm-primers">LLM Primers</a></li>
|
||
<li><a href="#structured-curriculums">Structured Curriculums</a></li>
|
||
<li><a href="#transformer-architecture">Transformer Architecture</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#machine-learning-and-deep-learning-fundamentals">Machine Learning and Deep Learning Fundamentals</a><ul>
|
||
<li><a href="#ai-primer">AI Primer</a></li>
|
||
<li><a href="#career-strategy">Career Strategy</a></li>
|
||
<li><a href="#foundational-handbook">Foundational Handbook</a></li>
|
||
<li><a href="#neural-network-architectures">Neural Network Architectures</a></li>
|
||
<li><a href="#structured-curriculums-1">Structured Curriculums</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#artificial-intelligence-and-llms">Artificial Intelligence and LLMs</a></li>
|
||
<li><a href="#prompt-engineering">Prompt Engineering</a><ul>
|
||
<li><a href="#developer-productivity">Developer Productivity</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#cloud-infrastructure">Cloud Infrastructure</a></li>
|
||
<li><a href="#cicd-and-devops">CICD and DevOps</a><ul>
|
||
<li><a href="#devsecops">DevSecOps</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#infrastructure-as-code">Infrastructure as Code</a><ul>
|
||
<li><a href="#compliance-auditing">Compliance Auditing</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#cloud-native-operations">Cloud Native Operations</a></li>
|
||
<li><a href="#ai-aiops">AI AIOps</a><ul>
|
||
<li><a href="#kubernetes-troubleshooting">Kubernetes Troubleshooting</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#ai-powered-operations-aiops">AI-Powered Operations AIOps</a><ul>
|
||
<li><a href="#kubernetes-troubleshooting-1">Kubernetes Troubleshooting</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#infrastructure-as-code-1">Infrastructure as Code</a><ul>
|
||
<li><a href="#ai-assisted-iac">AI-Assisted IaC</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#kubernetes-orchestration">Kubernetes Orchestration</a><ul>
|
||
<li><a href="#ai-workloads-on-k8s">AI Workloads on K8s</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#computer-vision">Computer Vision</a></li>
|
||
<li><a href="#deep-learning-research">Deep Learning Research</a><ul>
|
||
<li><a href="#cvpr">CVPR</a></li>
|
||
<li><a href="#generative-ai">Generative AI</a></li>
|
||
<li><a href="#ml-notebooks">ML Notebooks</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#devops">DevOps</a></li>
|
||
<li><a href="#automation">Automation</a><ul>
|
||
<li><a href="#education-tooling">Education Tooling</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#developer-experience">Developer Experience</a></li>
|
||
<li><a href="#ai-assisted-coding">AI-Assisted Coding</a><ul>
|
||
<li><a href="#claude-code">Claude Code</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#developer-productivity-1">Developer Productivity</a></li>
|
||
<li><a href="#ides">IDEs</a><ul>
|
||
<li><a href="#cursor">Cursor</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#developer-tooling">Developer Tooling</a></li>
|
||
<li><a href="#ai-code-assistants">AI Code Assistants</a><ul>
|
||
<li><a href="#prompt-templates">Prompt Templates</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#enterprise-architecture">Enterprise Architecture</a></li>
|
||
<li><a href="#aiops-and-observability">AIOps and Observability</a><ul>
|
||
<li><a href="#incident-response">Incident Response</a></li>
|
||
<li><a href="#site-reliability-engineering">Site Reliability Engineering</a></li>
|
||
<li><a href="#strategic-it-ops">Strategic IT Ops</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#finops-and-cloud-cost">FinOps and Cloud Cost</a></li>
|
||
<li><a href="#iac-finops">IaC FinOps</a><ul>
|
||
<li><a href="#ai-optimization">AI Optimization</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#kubernetes-and-platform-engineering">Kubernetes and Platform Engineering</a></li>
|
||
<li><a href="#platform-engineering-trends">Platform Engineering Trends</a><ul>
|
||
<li><a href="#ai-integration">AI Integration</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#software-engineering">Software Engineering</a></li>
|
||
<li><a href="#ai-assisted-development">AI-Assisted Development</a><ul>
|
||
<li><a href="#github-copilot">GitHub Copilot</a></li>
|
||
<li><a href="#industry-impact">Industry Impact</a></li>
|
||
<li><a href="#next-gen-platforms">Next-Gen Platforms</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#database-management">Database Management</a><ul>
|
||
<li><a href="#model-context-protocol-1">Model Context Protocol</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#professional-development">Professional Development</a><ul>
|
||
<li><a href="#core-architectures">Core Architectures</a></li>
|
||
</ul>
|
||
</li>
|
||
</ol>
|
||
<h2 id="ai-and-orchestration">AI and Orchestration<a class="headerlink" href="#ai-and-orchestration" title="Permanent link">¶</a></h2>
|
||
<h3 id="agentic-workflows">Agentic Workflows<a class="headerlink" href="#agentic-workflows" title="Permanent link">¶</a></h3>
|
||
<h4 id="command-line-tools">Command-Line Tools<a class="headerlink" href="#command-line-tools" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://github.com/google/agents-cli"><strong>Google Agents CLI</strong></a> <span class='md-tag md-tag--info'>⭐ 2853</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-f7881b53" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 11 L 10 6 L 20 6 L 30 13 L 40 7 L 50 4" fill="none" stroke="url(#spark-grad-f7881b53)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="4" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[TYPESCRIPT CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — An official command-line tool from Google built to design, test, and deploy agentic AI workflows. Leveraging the Model Context Protocol (MCP) and Google LLM APIs, it facilitates automated task orchestration across local filesystems and remote cloud APIs.</li>
|
||
</ul>
|
||
<h2 id="ai-engineering">AI Engineering<a class="headerlink" href="#ai-engineering" title="Permanent link">¶</a></h2>
|
||
<h3 id="model-context-protocol">Model Context Protocol<a class="headerlink" href="#model-context-protocol" title="Permanent link">¶</a></h3>
|
||
<h4 id="awesome-lists">Awesome Lists<a class="headerlink" href="#awesome-lists" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://github.com/punkpeye/awesome-mcp-servers"><mark>Awesome MCP Servers</mark></a> <span class='md-tag md-tag--info'>⭐ 89112</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-396cb5e3" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 12 L 10 4 L 20 9 L 30 10 L 40 3 L 50 5" fill="none" stroke="url(#spark-grad-396cb5e3)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> <span class='md-tag md-tag--secondary'>[GUIDE]</span> — Curator Insight: A community-curated collection of servers implementing the Model Context Protocol. Live Grounding: Aggregates verified integrations linking AI models to tools like relational databases, enterprise APIs, version control providers, and local execution runtimes.</li>
|
||
</ul>
|
||
<h2 id="architectural-foundations">Architectural Foundations<a class="headerlink" href="#architectural-foundations" title="Permanent link">¶</a></h2>
|
||
<h3 id="kubernetes-tools">Kubernetes Tools<a class="headerlink" href="#kubernetes-tools" title="Permanent link">¶</a></h3>
|
||
<h4 id="general-reference">General Reference<a class="headerlink" href="#general-reference" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><a href="https://www.reddit.com/r/Terraform/comments/1l7my1x/where_is_ai_still_completely_useless_for">Discussion: Where is AI Still Completely Useless?</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering Discussion: Where is AI Still Completely Useless? in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.reddit.com/r/ProgrammerHumor/comments/1tbzih8/techcompaniescuttingdevsforai">Tech companies cutting devs for AI</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering Tech companies cutting devs for AI in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.docker.com/llm">Docker for LLMs</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering Docker for LLMs in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.hashicorp.com/blog/accelerate-your-terraform-development-with-amazon-codewhisperer">hashicorp.com: Accelerate your Terraform development with Amazon CodeWhisperer</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering hashicorp.com: Accelerate your Terraform development with Amazon CodeWhisperer in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://markrosscloud.medium.com/introducing-kiro-aws-agentic-ai-based-ide-cded711b1409">Introducing Kiro: AWS Agentic AI-Based IDE</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering Introducing Kiro: AWS Agentic AI-Based IDE in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.guru99.com/ai-tutorial.html">guru99.com: Artificial Intelligence Tutorial for Beginners: Learn Basics' of AI 🌟🌟🌟</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering <mark>guru99.com: Artificial Intelligence Tutorial for Beginners: Learn Basics' of AI</mark> 🌟🌟🌟 in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.technologyreview.es/s/13258/las-empresas-que-empiezan-lo-grande-con-la-ia-fracasan-mas">technologyreview.es: "Las empresas que empiezan a lo grande con la IA' fracasan más" 🌟</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering <mark>technologyreview.es: "Las empresas que empiezan a lo grande con la IA' fracasan más"</mark> 🌟 in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://hipertextual.com/2023/02/diferencias-ia-machine-learning">hipertextual.com: Diferencias entre Inteligencia Artificial, Machine Learning' y Deep Learning</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering hipertextual.com: Diferencias entre Inteligencia Artificial, Machine Learning' y Deep Learning in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://blog.redbrickai.com/blog-posts/fast-meta-sam-for-medical-imaging">blog.redbrickai.com: F.A.S.T. ⚡️ Meta AI’s Segment Anything for Medical' Imaging</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering blog.redbrickai.com: F.A.S.T. ⚡️ Meta AI’s Segment Anything for Medical' Imaging in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.hashicorp.com/blog/accelerating-ai-adoption-on-azure-with-terraform">hashicorp.com: Accelerating AI adoption on Azure with Terraform</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering hashicorp.com: Accelerating AI adoption on Azure with Terraform in the Kubernetes Tools ecosystem.</li>
|
||
<li><a href="https://www.hashicorp.com/solutions/ai-infrastructure-management">hashicorp.com: AI for infrastructure management</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A curated technical resource and architectural guide covering hashicorp.com: AI for infrastructure management in the Kubernetes Tools ecosystem.</li>
|
||
</ul>
|
||
<h2 id="artificial-intelligence-1">Artificial Intelligence (1)<a class="headerlink" href="#artificial-intelligence-1" title="Permanent link">¶</a></h2>
|
||
<h3 id="ai-strategy">AI Strategy<a class="headerlink" href="#ai-strategy" title="Permanent link">¶</a></h3>
|
||
<h4 id="business-alignment">Business Alignment<a class="headerlink" href="#business-alignment" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2021)</strong> <a href="https://www.technologyreview.com/2021/03/26/1021258/ai-pioneer-andrew-ng-machine-learning-business">technologyreview.com: Andrew Ng: Forget about building an AI-first business. Start with a mission 🌟</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An interview with AI pioneer Andrew Ng discussing how to correctly align AI investments with business goals. Instead of building superficial 'AI-first' corporate structures, Ng argues for target-driven AI missions that address specific organizational pain points. This framework helps platform engineers and software architects focus tooling on high-impact business systems.</li>
|
||
</ul>
|
||
<h4 id="ecosystem-landscapes">Ecosystem Landscapes<a class="headerlink" href="#ecosystem-landscapes" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://mad.firstmark.com">mad.firstmark.com: The MAD (ML/AI/Data) Landscape</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — The definitive interactive map outlining the modern Machine Learning, AI, and Big Data landscape (MAD). Built and updated regularly, this portal segments thousands of open-source packages and cloud vendors. It is an indispensable dashboard for architects analyzing toolchain consolidation and technology selection.</li>
|
||
</ul>
|
||
<h4 id="ecosystem-partnerships">Ecosystem Partnerships<a class="headerlink" href="#ecosystem-partnerships" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://www.xataka.com/robotica-e-ia/microsoft-no-quiere-poner-todos-huevos-cesta-anuncia-asociacion-mistral-ai-openai-europa">xataka.com: Microsoft no quiere poner todos los huevos en la misma cesta: anuncia una asociación con Mistral AI, la OpenAI de Europa</a> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Details Microsoft's strategic alliance with French AI startup Mistral AI, expanding model choices on Azure Cloud. It details how the partnership offers developers alternative foundation models like Mistral Large, decreasing vendor lock-in. It illustrates the shifting geopolitical dynamics and cloud distribution wars of foundation models.</li>
|
||
</ul>
|
||
<h4 id="hybrid-cloud-infrastructure">Hybrid Cloud Infrastructure<a class="headerlink" href="#hybrid-cloud-infrastructure" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2020)</strong> <a href="https://www.cio.com/article/350337/make-better-ai-infrastructure-decisions-why-hybrid-cloud-is-a-solid-fit.html">cio.com: Make Better AI Infrastructure Decisions: Why Hybrid Cloud is a Solid Fit 🌟</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — This article evaluates hybrid cloud configurations as the optimal topology for running complex AI and ML workloads. By pairing on-premises GPU compute resources (minimizing high data transfer costs) with public cloud scalability for distributed inference, enterprises optimize their infrastructure spending. It acts as an essential decision framework for infrastructure architects.</li>
|
||
</ul>
|
||
<h4 id="socio-technical-impact">Socio-Technical Impact<a class="headerlink" href="#socio-technical-impact" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.businessinsider.es/tecnologia/ingenieros-software-estan-aterrorizados-posibilidad-ser-sustituidos-ia-1238112">businessinsider.es: Los ingenieros de software están aterrorizados ante la posibilidad de ser sustituidos por la IA</a> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Investigates the sociotechnical impact and anxieties surrounding the deployment of automated coding assistants within software engineering. It argues that while generative models displace routine syntax boilerplate generation, they elevate the engineer's role to that of a system orchestrator and architectural validator. It defines critical perspectives on long-term developer training.</li>
|
||
</ul>
|
||
<h3 id="deep-learning">Deep Learning<a class="headerlink" href="#deep-learning" title="Permanent link">¶</a></h3>
|
||
<h4 id="large-language-models">Large Language Models<a class="headerlink" href="#large-language-models" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://github.com/rasbt/LLMs-from-scratch"><mark>LLMs-from-scratch</mark></a> <span class='md-tag md-tag--info'>⭐ 97134</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-5746f3ae" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 5 L 10 2 L 20 2 L 30 12 L 40 3 L 50 5" fill="none" stroke="url(#spark-grad-5746f3ae)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — Curator Insight highlights this acclaimed resource for building a fully functional PyTorch Transformer from scratch. Live Grounding verifies it is an indispensable textbook for AI engineers, laying bare tokenization, self-attention calculations, optimization loops, and model loading mechanics without library abstractions.</li>
|
||
</ul>
|
||
<h3 id="generative-ai-engineering">Generative AI Engineering<a class="headerlink" href="#generative-ai-engineering" title="Permanent link">¶</a></h3>
|
||
<h4 id="api-integration-patterns">API Integration Patterns<a class="headerlink" href="#api-integration-patterns" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/openai/openai-cookbook"><mark>github.com/openai/openai-cookbook: OpenAI Cookbook</mark></a> <span class='md-tag md-tag--info'>⭐ 74150</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-e9870985" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 6 L 10 13 L 20 13 L 30 11 L 40 12 L 50 5" fill="none" stroke="url(#spark-grad-e9870985)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — The official, highly detailed cookbook of integration patterns and code recipes from OpenAI. Live Grounding and Curator Insight rate this as the definitive reference for engineering structured JSON model outputs, semantic embedding databases, low-latency streaming endpoints, and high-throughput bulk operations.</li>
|
||
</ul>
|
||
<h4 id="architecture-patterns">Architecture Patterns<a class="headerlink" href="#architecture-patterns" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.youtube.com/watch?v=1Lat8dP7Eq0">youtube: AWS re:Invent 2023 - From hype to impact: Building a generative AI architecture (ARC217)</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--warning'>[EMERGING]</span> — An advanced AWS architecture session detailing patterns to transition generative AI from experimental concepts to secure, cost-optimized, and low-latency production applications. It covers vector search performance, model endpoint caching, and distributed multi-tenant API routing. This reference is crucial for system engineers designing robust enterprise AI portals.</li>
|
||
</ul>
|
||
<h4 id="audio-and-speech-synthesis">Audio and Speech Synthesis<a class="headerlink" href="#audio-and-speech-synthesis" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://www.amazon.science/base-tts-samples">amazon.science/base-tts-samples</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Examines Amazon's advanced research in large-scale text-to-speech (TTS) foundation models, presenting audio samples and technical parameters. The system demonstrates emergent properties in synthetic voice naturalness, prosody control, and emotive expression. It outlines the state of the art in developing hyper-realistic speech interfaces.</li>
|
||
</ul>
|
||
<h4 id="transformer-implementations">Transformer Implementations<a class="headerlink" href="#transformer-implementations" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/NielsRogge/Transformers-Tutorials"><strong>github.com/NielsRogge/Transformers-Tutorials</strong></a> <span class='md-tag md-tag--info'>⭐ 11638</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-f52608f0" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 4 L 10 4 L 20 3 L 30 11 L 40 4 L 50 5" fill="none" stroke="url(#spark-grad-f52608f0)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — A robust repository of detailed Jupyter notebooks demonstrating how to fine-tune, optimize, and deploy Hugging Face Transformers. Spanning multiple sensory modalities, it includes code for computer vision, natural language processing, and multimodal tasks. It serves as a go-to code library for enterprise machine learning engineers.</li>
|
||
</ul>
|
||
<h3 id="llmops-and-mlops">LLMOps and MLOps<a class="headerlink" href="#llmops-and-mlops" title="Permanent link">¶</a></h3>
|
||
<h4 id="curated-ecosystems">Curated Ecosystems<a class="headerlink" href="#curated-ecosystems" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/tensorchord/Awesome-LLMOps">github.com/tensorchord/Awesome-LLMOps: Awesome LLMOps</a> <span class='md-tag md-tag--info'>⭐ 5843</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-6eb12657" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 13 L 10 5 L 20 11 L 30 7 L 40 2 L 50 5" fill="none" stroke="url(#spark-grad-6eb12657)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> 🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — An expansive, curated catalog of leading open-source LLMOps tooling, libraries, and frameworks. Curator Insight and Live Grounding validate this repository as a comprehensive roadmap for configuring production vector databases, distributed training trackers, model testing beds, and low-latency inference gateways.</li>
|
||
</ul>
|
||
<h4 id="strategy-and-pipelines">Strategy and Pipelines<a class="headerlink" href="#strategy-and-pipelines" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://valohai.com/blog/llmops">valohai.com/blog/llmops/</a> <span class='md-tag md-tag--warning'>[EMERGING]</span> — A detailed structural analysis mapping out the critical differences between classical MLOps pipelines and the emerging LLMOps domain. It addresses unique lifecycle challenges such as prompt versioning, parameter-efficient fine-tuning (PEFT), and the RAG validation triad. It helps platform teams adapt CI/CD tools to AI lifecycles.</li>
|
||
</ul>
|
||
<h3 id="large-language-models-1">Large Language Models (1)<a class="headerlink" href="#large-language-models-1" title="Permanent link">¶</a></h3>
|
||
<h4 id="evaluation-and-safety">Evaluation and Safety<a class="headerlink" href="#evaluation-and-safety" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://thenewstack.io/ignore-prior-instructions-ai-still-befuddled-by-basic-reasoning">Ignore Prior Instructions: AI Still Befuddled by Basic Reasoning</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Analyses the logical and mathematical limitations of current autoregressive transformers, exploring why basic reasoning and prompt injection vulnerability remain major hurdles. It advises deploying robust system-level validation checks and structured orchestration frameworks (e.g., semantic gateways) to mitigate risk in user-facing production systems.</li>
|
||
</ul>
|
||
<h4 id="industry-use-cases">Industry Use Cases<a class="headerlink" href="#industry-use-cases" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.forbesargentina.com/innovacion/por-nvidia-google-microsoft-apuestan-miles-millones-modelos-llm-ia-generativa-biotecnologia-n49278">forbesargentina.com: Por qué Nvidia, Google y Microsoft apuestan miles de millones en modelos LLM de IA Generativa para biotecnología</a> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Analyzes the massive strategic investments from major hyper-scalers (Google, Microsoft, Nvidia) in training LLMs for computational biology and drug discovery. It details how biological sequences (DNA, proteins) are modeled similarly to language tokens, unlocking rapid protein fold predictions. It illustrates the expanding paradigm of specialized generative domain modeling.</li>
|
||
</ul>
|
||
<h4 id="llm-primers">LLM Primers<a class="headerlink" href="#llm-primers" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://aman.ai/primers/ai/LLM">aman.ai/primers/ai/LLM: Primers - Overview of Large Language Models</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A structured primer exploring the foundational architectures, training phases, and evaluation cycles of Large Language Models (LLMs). It maps out causal language modeling, masking methodologies, and reinforcement learning from human feedback (RLHF). This overview equips engineers with deep insights into how massive neural networks interpret context.</li>
|
||
</ul>
|
||
<h4 id="structured-curriculums">Structured Curriculums<a class="headerlink" href="#structured-curriculums" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/mlabonne/llm-course"><mark>github.com/mlabonne/llm-course</mark></a> <span class='md-tag md-tag--info'>⭐ 80120</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-dc69b86c" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 3 L 10 5 L 20 5 L 30 3 L 40 10 L 50 5" fill="none" stroke="url(#spark-grad-dc69b86c)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — Maxime Labonne's stellar curriculum for mastering Large Language Model engineering. Curator Insight and Live Grounding confirm its value, providing code-driven notebooks covering quantization (bitsandbytes, AWQ, GGUF), LoRA fine-tuning, direct preference optimization (DPO), and advanced retrieval-augmented generation (RAG) paradigms.</li>
|
||
</ul>
|
||
<h4 id="transformer-architecture">Transformer Architecture<a class="headerlink" href="#transformer-architecture" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://aman.ai/primers/ai/transformers">aman.ai: Transformers</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An elegant architectural blueprint dissecting the mathematical design of the Attention is All You Need transformer model. It provides clear examinations of multi-head attention blocks, residual connections, feed-forward sublayers, and positional embeddings. Reading this is necessary for developers seeking to optimize model inference latency.</li>
|
||
<li><strong>(2023)</strong> <a href="https://aman.ai/primers/ai/bert">aman.ai: Primers • Bidirectional Encoder Representations from Transformers (BERT)</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Dissects BERT (Bidirectional Encoder Representations from Transformers), detailing its bidirectional training paradigm via Masked Language Modeling (MLM). By processing left and right contexts simultaneously, BERT excels at semantic search, sentence classification, and named entity recognition. This guide is ideal for engineers deploying advanced information extraction models.</li>
|
||
<li><strong>(2023)</strong> <a href="https://aman.ai/primers/ai/gpt">aman.ai: Primers • Generative Pre-trained Transformer (GPT)</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A technical overview of the Generative Pre-trained Transformer (GPT) lineage, explaining decoder-only autoregressive pre-training. It highlights how next-token prediction and casual masking techniques scale predictably over billions of parameters. This documentation helps platform engineers understand parameter scaling trends and memory requirements.</li>
|
||
</ul>
|
||
<h3 id="machine-learning-and-deep-learning-fundamentals">Machine Learning and Deep Learning Fundamentals<a class="headerlink" href="#machine-learning-and-deep-learning-fundamentals" title="Permanent link">¶</a></h3>
|
||
<h4 id="ai-primer">AI Primer<a class="headerlink" href="#ai-primer" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://aman.ai/primers/ai">aman.ai/primers/ai: Distilled AI</a> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An elite reference manual summarizing core concepts in modern machine learning and deep learning architectures. It distills deep neural net mechanics, loss functions, optimizer designs, and regularization frameworks into actionable technical digests. Ideal for software architects who require high-density cheat sheets on machine learning theory.</li>
|
||
</ul>
|
||
<h4 id="career-strategy">Career Strategy<a class="headerlink" href="#career-strategy" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2021)</strong> <a href="https://www.freecodecamp.org/news/ace-your-deep-learning-job-interview">freecodecamp.org: Ace Your Deep Learning Job Interview</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A practical preparation handbook mapping out the essential mathematical and conceptual pillars required for deep learning technical interviews. It covers topics ranging from linear algebra, neural network architectures (like CNNs and RNNs), activation functions, to hyperparameter optimization. This guide is highly effective for engineers targeting deep-tech infrastructure roles.</li>
|
||
</ul>
|
||
<h4 id="foundational-handbook">Foundational Handbook<a class="headerlink" href="#foundational-handbook" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.freecodecamp.org/news/deep-learning-fundamentals-handbook-start-a-career-in-ai">freecodecamp.org: Deep Learning Fundamentals Handbook – What You Need to Know to Start Your Career in AI</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A detailed handbook covering the fundamental mathematics and algorithms behind deep learning systems. It reviews basic perceptrons, gradient descent variations, backpropagation formulas, and methods to mitigate overfitting (such as dropout and weight decay). It serves as a necessary theoretical manual for building a comprehensive understanding of AI systems.</li>
|
||
</ul>
|
||
<h4 id="neural-network-architectures">Neural Network Architectures<a class="headerlink" href="#neural-network-architectures" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2020)</strong> <a href="https://poloclub.github.io/cnn-explainer">poloclub.github.io: What is a Convolutional Neural Network?</a> <span class='md-tag md-tag--warning'>[JAVASCRIPT CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An interactive, visual demonstration of Convolutional Neural Networks (CNNs) designed to demystify mathematical operations like convolution, pooling, and activation functions. The tool lets engineers inspect intermediate layers of active models, mapping visual inputs to numerical transformations. This is a vital resource for platform engineers seeking a deep conceptual understanding of computer vision workloads.</li>
|
||
</ul>
|
||
<h4 id="structured-curriculums-1">Structured Curriculums (1)<a class="headerlink" href="#structured-curriculums-1" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/microsoft/ML-For-Beginners"><mark>github.com/microsoft/ML-For-Beginners: Machine Learning for Beginners' - A Curriculum</mark></a> <span class='md-tag md-tag--info'>⭐ 86821</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-857c0691" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 2 L 10 7 L 20 13 L 30 12 L 40 5 L 50 3" fill="none" stroke="url(#spark-grad-857c0691)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="3" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — Microsoft's 12-week, 26-lesson classical machine learning curriculum focused heavily on hands-on project-based execution using Scikit-learn. It purposely isolates foundational ML patterns—such as regression, clustering, and basic NLP—from deep learning complexities. It is a premier learning journey for developers seeking to deploy robust predictive systems.</li>
|
||
</ul>
|
||
<h2 id="artificial-intelligence-and-llms">Artificial Intelligence and LLMs<a class="headerlink" href="#artificial-intelligence-and-llms" title="Permanent link">¶</a></h2>
|
||
<h3 id="prompt-engineering">Prompt Engineering<a class="headerlink" href="#prompt-engineering" title="Permanent link">¶</a></h3>
|
||
<h4 id="developer-productivity">Developer Productivity<a class="headerlink" href="#developer-productivity" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://github.com/serenakeyitan/awesome-notebookLM-prompts"><strong>Awesome NotebookLM Slide Prompts</strong></a> <span class='md-tag md-tag--info'>⭐ 3761</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-1f241f0c" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 7 L 10 13 L 20 2 L 30 2 L 40 2 L 50 5" fill="none" stroke="url(#spark-grad-1f241f0c)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> 🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — A master curation of system-level prompt templates specifically optimized for Google NotebookLM. It accelerates complex source material ingestions, contextual extractions, and structured summarizing processes for technical architects. (Live Grounding: Highlights the 2026 intersection of AI workflow orchestration and engineering documentation maintenance).</li>
|
||
</ul>
|
||
<h2 id="cloud-infrastructure">Cloud Infrastructure<a class="headerlink" href="#cloud-infrastructure" title="Permanent link">¶</a></h2>
|
||
<h3 id="cicd-and-devops">CICD and DevOps<a class="headerlink" href="#cicd-and-devops" title="Permanent link">¶</a></h3>
|
||
<h4 id="devsecops">DevSecOps<a class="headerlink" href="#devsecops" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.infoworld.com/article/2336728/5-best-practices-for-securing-cicd-pipelines.html">infoworld.com: 5 best practices for securing CI/CD pipelines</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Synthesizes five critical best practices for hardening modern deployment pipelines. Covers automated static analysis (SAST), software bill-of-materials (SBOM) generation, container signing, secrets management, and least-privilege runtimes.</li>
|
||
</ul>
|
||
<h3 id="infrastructure-as-code">Infrastructure as Code<a class="headerlink" href="#infrastructure-as-code" title="Permanent link">¶</a></h3>
|
||
<h4 id="compliance-auditing">Compliance Auditing<a class="headerlink" href="#compliance-auditing" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2026)</strong> <a href="https://github.com/aws-samples/well-architected-iac-analyzer">AWS Well-Architected IaC Analyzer</a> <span class='md-tag md-tag--info'>⭐ 483</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-1f73eea1" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 11 L 10 4 L 20 9 L 30 11 L 40 9 L 50 5" fill="none" stroke="url(#spark-grad-1f73eea1)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟 <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An AWS-backed auditing analyzer designed to inspect CloudFormation and Terraform designs against the AWS Well-Architected standard. Evaluates infrastructure-as-code deployments for security vulnerabilities and reliability issues before runtime provisioning.</li>
|
||
</ul>
|
||
<h2 id="cloud-native-operations">Cloud Native Operations<a class="headerlink" href="#cloud-native-operations" title="Permanent link">¶</a></h2>
|
||
<h3 id="ai-aiops">AI AIOps<a class="headerlink" href="#ai-aiops" title="Permanent link">¶</a></h3>
|
||
<h4 id="kubernetes-troubleshooting">Kubernetes Troubleshooting<a class="headerlink" href="#kubernetes-troubleshooting" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://github.com/HolmesGPT/holmesgpt">HolmesGPT (Robusta)</a> <span class='md-tag md-tag--info'>⭐ 2623</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-892577ed" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 5 L 10 5 L 20 6 L 30 13 L 40 13 L 50 5" fill="none" stroke="url(#spark-grad-892577ed)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟 <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Curator Insight: An AI-driven troubleshooting assistant for Kubernetes clusters by Robusta. Live Grounding: Utilizes LLM agents to autonomously parse Prometheus alerts, collect pod logs, inspect live status, and deliver actionable remediation steps for infrastructure incidents.</li>
|
||
</ul>
|
||
<h3 id="ai-powered-operations-aiops">AI-Powered Operations AIOps<a class="headerlink" href="#ai-powered-operations-aiops" title="Permanent link">¶</a></h3>
|
||
<h4 id="kubernetes-troubleshooting-1">Kubernetes Troubleshooting (1)<a class="headerlink" href="#kubernetes-troubleshooting-1" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://collabnix.com/the-rise-of-kubernetes-and-ai-kubectl-openai-plugin">collabnix.com: The Rise of Kubernetes and AI – Kubectl OpenAI plugin</a> <span class='md-tag md-tag--warning'>[GO CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Focuses on the Kubectl OpenAI plugin, showing how natural language commands can be compiled directly into active Kubernetes cluster API calls. It simplifies YAML definition generation and debugging workflows, lowering barrier-to-entry. A great case study in operations-focused developer tooling.</li>
|
||
</ul>
|
||
<h3 id="infrastructure-as-code-1">Infrastructure as Code (1)<a class="headerlink" href="#infrastructure-as-code-1" title="Permanent link">¶</a></h3>
|
||
<h4 id="ai-assisted-iac">AI-Assisted IaC<a class="headerlink" href="#ai-assisted-iac" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://aws.amazon.com/blogs/aws/ide-extension-for-aws-application-composer-enhances-visual-modern-applications-development-with-ai-generated-iac">IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Examines how the AWS Application Composer IDE extension leverages AI to dynamically draft modern serverless IaC templates from a visual layout canvas. As developers design, the system generates clean CloudFormation or SAM patterns. This tool merges direct visual feedback with automated infrastructure generation.</li>
|
||
</ul>
|
||
<h3 id="kubernetes-orchestration">Kubernetes Orchestration<a class="headerlink" href="#kubernetes-orchestration" title="Permanent link">¶</a></h3>
|
||
<h4 id="ai-workloads-on-k8s">AI Workloads on K8s<a class="headerlink" href="#ai-workloads-on-k8s" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://itnext.io/deploy-flexible-and-custom-setups-with-anything-llm-on-kubernetes-a2b5687f2bcc">itnext.io: Deploy Flexible and Custom Setups with Anything LLM on Kubernetes</a> <span class='md-tag md-tag--warning'>[YAML CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Details the architectural deployment of AnythingLLM on top of a Kubernetes cluster, covering PV provisioning, ingress configurations, and resource limits. Deploying private RAG environments on Kubernetes gives enterprise teams localized, secured multi-user document search. This tutorial bridges raw AI services with cloud-native hosting stability.</li>
|
||
</ul>
|
||
<h2 id="computer-vision">Computer Vision<a class="headerlink" href="#computer-vision" title="Permanent link">¶</a></h2>
|
||
<h3 id="deep-learning-research">Deep Learning Research<a class="headerlink" href="#deep-learning-research" title="Permanent link">¶</a></h3>
|
||
<h4 id="cvpr">CVPR<a class="headerlink" href="#cvpr" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/SkalskiP/top-cvpr-2023-papers"><mark>github.com/SkalskiP/top-cvpr-2023-papers</mark></a> <span class='md-tag md-tag--info'>⭐ 647</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-5c5a5b99" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 12 L 10 12 L 20 5 L 30 9 L 40 2 L 50 2" fill="none" stroke="url(#spark-grad-5c5a5b99)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="2" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — A curated reference hub detailing top-performing papers and breakthroughs from CVPR 2023. Synthesizes vital engineering advancements across object detection, visual language models, zero-shot segmentation libraries, and advanced neural representations.</li>
|
||
</ul>
|
||
<h4 id="generative-ai">Generative AI<a class="headerlink" href="#generative-ai" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/XingangPan/DragGAN"><mark>github.com/XingangPan/DragGAN</mark></a> <span class='md-tag md-tag--info'>⭐ 35825</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-11907d5c" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 8 L 10 12 L 20 4 L 30 7 L 40 11 L 50 3" fill="none" stroke="url(#spark-grad-11907d5c)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="3" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — An interactive GAN-based image manipulation system. Users drag specific control points of an image to dynamically alter object dimensions, poses, and facial structures.</li>
|
||
</ul>
|
||
<h4 id="ml-notebooks">ML Notebooks<a class="headerlink" href="#ml-notebooks" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/jupyterlab/jupyter-ai"><mark>github.com/jupyterlab/jupyter-ai</mark></a> <span class='md-tag md-tag--info'>⭐ 4272</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-9bc86074" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 10 L 10 10 L 20 4 L 30 8 L 40 2 L 50 5" fill="none" stroke="url(#spark-grad-9bc86074)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — An official JupyterLab extension that brings generative AI capabilities to interactive notebooks. It supports inline code synthesis, explanation, and error correction across multiple model APIs.</li>
|
||
</ul>
|
||
<h2 id="devops">DevOps<a class="headerlink" href="#devops" title="Permanent link">¶</a></h2>
|
||
<h3 id="automation">Automation<a class="headerlink" href="#automation" title="Permanent link">¶</a></h3>
|
||
<h4 id="education-tooling">Education Tooling<a class="headerlink" href="#education-tooling" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://github.com/ned1313/quiz-grader">Quiz Grader</a> <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A lightweight utility engineered to automate the grading and feedback of quizzes and programming assignments. Processes markdown-based inputs to generate structured performance assessments, supporting classroom and self-assessment operations.</li>
|
||
</ul>
|
||
<h2 id="developer-experience">Developer Experience<a class="headerlink" href="#developer-experience" title="Permanent link">¶</a></h2>
|
||
<h3 id="ai-assisted-coding">AI-Assisted Coding<a class="headerlink" href="#ai-assisted-coding" title="Permanent link">¶</a></h3>
|
||
<h4 id="claude-code">Claude Code<a class="headerlink" href="#claude-code" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://github.com/shanraisshan/claude-code-best-practice"><mark>Claude Code Best Practice</mark></a> <span class='md-tag md-tag--info'>⭐ 57660</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-26ea52d5" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 3 L 10 2 L 20 3 L 30 5 L 40 3 L 50 2" fill="none" stroke="url(#spark-grad-26ea52d5)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="2" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> <span class='md-tag md-tag--secondary'>[GUIDE]</span> — Curator Insight: Curated collection of best practices, system prompts, and architecture layouts for Claude Code. Live Grounding: Explores advanced CLI-driven agent workflows, highlighting configuration optimizations, shell integration strategies, and secure execution configurations in local and remote environments.</li>
|
||
</ul>
|
||
<h2 id="developer-productivity-1">Developer Productivity (1)<a class="headerlink" href="#developer-productivity-1" title="Permanent link">¶</a></h2>
|
||
<h3 id="ides">IDEs<a class="headerlink" href="#ides" title="Permanent link">¶</a></h3>
|
||
<h4 id="cursor">Cursor<a class="headerlink" href="#cursor" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://cursor.com"><mark>cursor.com: Cursor AI Code Editor</mark></a> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — The premier AI-first code editor, built as a fork of VS Code, offering features like Cursor Tab (smart autocomplete), Cmd+K (inline edits), Composer (multi-file agentic code generation), and deep codebase indexing.</li>
|
||
</ul>
|
||
<h2 id="developer-tooling">Developer Tooling<a class="headerlink" href="#developer-tooling" title="Permanent link">¶</a></h2>
|
||
<h3 id="ai-code-assistants">AI Code Assistants<a class="headerlink" href="#ai-code-assistants" title="Permanent link">¶</a></h3>
|
||
<h4 id="prompt-templates">Prompt Templates<a class="headerlink" href="#prompt-templates" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2026)</strong> <a href="https://github.com/davila7/claude-code-templates"><mark>Claude Code Templates</mark></a> <span class='md-tag md-tag--info'>⭐ 28036</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-95ae7120" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 12 L 10 2 L 20 11 L 30 13 L 40 7 L 50 5" fill="none" stroke="url(#spark-grad-95ae7120)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — Claude Code Templates is an extensive community library containing structured system designs, context guidelines, and prompt schemas optimized for Anthropic's Claude Code and CLI. It helps teams configure context-aware coding agents that integrate smoothly into microservice development cycles.</li>
|
||
</ul>
|
||
<h2 id="enterprise-architecture">Enterprise Architecture<a class="headerlink" href="#enterprise-architecture" title="Permanent link">¶</a></h2>
|
||
<h3 id="aiops-and-observability">AIOps and Observability<a class="headerlink" href="#aiops-and-observability" title="Permanent link">¶</a></h3>
|
||
<h4 id="incident-response">Incident Response<a class="headerlink" href="#incident-response" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://thenewstack.io/intelligent-automation-whats-the-missing-piece-of-aiops">thenewstack.io: Intelligent Automation: What’s the Missing Piece of AIOps?</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Pinpoints the missing component of modern AIOps tools: closing the gap between diagnostic analytics and actual infrastructure remediation. Argues for event-driven, programmatic automation frameworks to bypass manual engineering cycles.</li>
|
||
</ul>
|
||
<h4 id="site-reliability-engineering">Site Reliability Engineering<a class="headerlink" href="#site-reliability-engineering" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.infoq.com/articles/aiops-reliability-engineering">infoq.com: AIOps: Site Reliability Engineering at Scale</a> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — An operational guide illustrating how AIOps can scale Site Reliability Engineering. Demonstrates how machine learning helps teams prioritize incidents, predict SLO failures, and handle large-scale alert volume.</li>
|
||
</ul>
|
||
<h4 id="strategic-it-ops">Strategic IT Ops<a class="headerlink" href="#strategic-it-ops" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.apmdigest.com/aiops-itops-1">apmdigest.com: What Can AIOps Do For IT Ops? - Part 1</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A comprehensive five-part industry series highlighting how AIOps restructures modern IT Operations. Explores the migration from reactive monitoring to predictive modeling, showing how cognitive analytics can prevent systemic downtime.</li>
|
||
<li><strong>(2023)</strong> <a href="https://thenewstack.io/the-urgency-driving-aiops-into-your-enterprise">thenewstack.io: The Urgency Driving AIOps into Your Enterprise</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Analyzes the business and technology drivers forcing rapid enterprise integration of AIOps platforms. Addresses the challenge of telemetry overload and details how automated correlation engines optimize modern cloud networks.</li>
|
||
</ul>
|
||
<h2 id="finops-and-cloud-cost">FinOps and Cloud Cost<a class="headerlink" href="#finops-and-cloud-cost" title="Permanent link">¶</a></h2>
|
||
<h3 id="iac-finops">IaC FinOps<a class="headerlink" href="#iac-finops" title="Permanent link">¶</a></h3>
|
||
<h4 id="ai-optimization">AI Optimization<a class="headerlink" href="#ai-optimization" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://github.com/openops-cloud/openops"><strong>OpenOps: No-Code FinOps Automation Platform with AI</strong></a> <span class='md-tag md-tag--info'>⭐ 1035</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-b1fe04f8" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 13 L 10 11 L 20 8 L 30 2 L 40 8 L 50 5" fill="none" stroke="url(#spark-grad-b1fe04f8)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[GO CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — An open-source, no-code platform utilizing AI to identify and automate cloud cost optimizations. Connects directly with Kubernetes metrics to suggest sizing adjustments and automatically remove unused resources.</li>
|
||
</ul>
|
||
<h2 id="kubernetes-and-platform-engineering">Kubernetes and Platform Engineering<a class="headerlink" href="#kubernetes-and-platform-engineering" title="Permanent link">¶</a></h2>
|
||
<h3 id="platform-engineering-trends">Platform Engineering Trends<a class="headerlink" href="#platform-engineering-trends" title="Permanent link">¶</a></h3>
|
||
<h4 id="ai-integration">AI Integration<a class="headerlink" href="#ai-integration" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://platformengineering.org/blog/ai-is-changing-the-future-of-platform-engineering-are-you-ready">platformengineering.org: AI is changing the future of platform engineering. Are you ready?</a> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Discusses how generative AI is shifting internal developer platform (IDP) dynamics. Details how AI assistance simplifies configuration management, infrastructure provisioning, and self-service portals for developer teams.</li>
|
||
</ul>
|
||
<h2 id="software-engineering">Software Engineering<a class="headerlink" href="#software-engineering" title="Permanent link">¶</a></h2>
|
||
<h3 id="ai-assisted-development">AI-Assisted Development<a class="headerlink" href="#ai-assisted-development" title="Permanent link">¶</a></h3>
|
||
<h4 id="github-copilot">GitHub Copilot<a class="headerlink" href="#github-copilot" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2026)</strong> <a href="https://docs.github.com/en/copilot/get-started/best-practices">Best Practices for Using GitHub Copilot</a> <span class='md-tag md-tag--primary'>[DOCUMENTATION]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Authoritative guidelines from GitHub designed to optimize interaction with Copilot. Covers prompt engineering tactics (such as context-setting files and comments), managing AI security and license compliance, and verifying generated output.</li>
|
||
</ul>
|
||
<h4 id="industry-impact">Industry Impact<a class="headerlink" href="#industry-impact" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://www.xataka.com/servicios/copilot-chatgpt-gpt-4-han-cambiado-para-siempre-mundo-programacion-esto-que-opinan-expertos">xataka.com: https://www.xataka.com/servicios/copilot-chatgpt-gpt-4-han-cambiado-para-siempre-mundo-programacion-esto-que-opinan-expertos</a> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A comprehensive expert-driven review of how GPT-4 and Copilot have structurally altered the software engineering lifecycle. Evaluates productivity shifts, risks of cognitive offloading, and structural changes in junior developer onboarding processes.</li>
|
||
</ul>
|
||
<h4 id="next-gen-platforms">Next-Gen Platforms<a class="headerlink" href="#next-gen-platforms" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2023)</strong> <a href="https://computerhoy.20minutos.es">computerhoy.com: GitHub Copilot X: así es la nueva IA parecida a ChatGPT y destinada a ayudar a programadores</a> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Analyzes the technical specifications of Copilot X, including terminal tool integration, automated PR description synthesis, and integrated chat widgets. Examines the performance gains from switching to OpenAI's GPT-4 framework.</li>
|
||
</ul>
|
||
<h3 id="database-management">Database Management<a class="headerlink" href="#database-management" title="Permanent link">¶</a></h3>
|
||
<h4 id="model-context-protocol-1">Model Context Protocol (1)<a class="headerlink" href="#model-context-protocol-1" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2024)</strong> <a href="https://github.com/TabularisDB/tabularis/blob/main/README.es.md"><mark>Tabularis: Open Source Desktop Client for Modern Databases with AI and MCP' Integration</mark></a> <span class='md-tag md-tag--info'>⭐ 2422</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-6df57ab1" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 13 L 10 5 L 20 2 L 30 12 L 40 13 L 50 2" fill="none" stroke="url(#spark-grad-6df57ab1)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="2" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[SPANISH CONTENT]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — An open-source desktop database client featuring Model Context Protocol (MCP) integrations. This compliance allows local LLMs to safely query, analyze, and update database schemas within strict user security boundaries.</li>
|
||
</ul>
|
||
<h3 id="professional-development">Professional Development<a class="headerlink" href="#professional-development" title="Permanent link">¶</a></h3>
|
||
<h4 id="core-architectures">Core Architectures<a class="headerlink" href="#core-architectures" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>(2025)</strong> <a href="https://github.com/mattpocock/skills"><mark>Skills for Real Engineers</mark></a> <span class='md-tag md-tag--info'>⭐ 128202</span> <svg class="v2-sparkline" width="50" height="15" viewBox="0 0 50 15" style="vertical-align: middle; display: inline-block; margin-left: 6px;" title="Activity Trend"><defs><linearGradient id="spark-grad-1ae169fb" x1="0" y1="0" x2="1" y2="0"><stop offset="0%" stop-color="rgba(34, 211, 238, 0.2)" /><stop offset="100%" stop-color="var(--md-accent-fg-color)" /></linearGradient></defs><path class="v2-sparkline-path" d="M 0 10 L 10 9 L 20 4 L 30 5 L 40 11 L 50 5" fill="none" stroke="url(#spark-grad-1ae169fb)" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" /><circle cx="50" cy="5" r="2" fill="var(--md-accent-fg-color)" /></svg> <span class='md-tag md-tag--warning'>[MARKDOWN CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span> — An exceptionally popular repository detailing the foundational principles, design philosophies, and architectural protocols required for master-level software delivery. While the curator focuses on career advancement, live engineering practice indicates that mastering these fundamentals is vital to surviving rapid AI development shifts. It represents an elite reference for engineering standardizations.</li>
|
||
</ul>
|
||
<hr />
|
||
<p>💡 <strong>Explore Related:</strong> <a href="../chatgpt/">ChatGPT</a> | <a href="../ai-agents-mcp/">AI Agents MCP</a> | <a href="../mlops/">MLOps</a></p>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
</article>
|
||
</div>
|
||
|
||
|
||
<script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>
|
||
</div>
|
||
|
||
<button type="button" class="md-top md-icon" data-md-component="top" hidden>
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg>
|
||
Back to top
|
||
</button>
|
||
|
||
</main>
|
||
|
||
<footer class="md-footer">
|
||
|
||
<div class="md-footer-meta md-typeset">
|
||
<div class="md-footer-meta__inner md-grid">
|
||
<div class="md-copyright">
|
||
|
||
<div class="md-copyright__highlight">
|
||
Copyright © 2026 Nubenetes Agentic Intelligence
|
||
</div>
|
||
|
||
|
||
Made with
|
||
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
|
||
Material for MkDocs
|
||
</a>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="md-social">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://github.com/nubenetes/awesome-kubernetes" target="_blank" rel="noopener" title="github.com" class="md-social__link">
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M173.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6m-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3m44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9M252.8 8C114.1 8 8 113.3 8 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C436.2 457.8 504 362.9 504 252 504 113.3 391.5 8 252.8 8M105.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1m-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7m32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1m-11.4-14.7c-1.6 1-1.6 3.6 0 5.9s4.3 3.3 5.6 2.3c1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://twitter.com/nubenetes" target="_blank" rel="noopener" title="twitter.com" class="md-social__link">
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M459.4 151.7c.3 4.5.3 9.1.3 13.6 0 138.7-105.6 298.6-298.6 298.6-59.5 0-114.7-17.2-161.1-47.1 8.4 1 16.6 1.3 25.3 1.3 49.1 0 94.2-16.6 130.3-44.8-46.1-1-84.8-31.2-98.1-72.8 6.5 1 13 1.6 19.8 1.6 9.4 0 18.8-1.3 27.6-3.6-48.1-9.7-84.1-52-84.1-103v-1.3c14 7.8 30.2 12.7 47.4 13.3-28.3-18.8-46.8-51-46.8-87.4 0-19.5 5.2-37.4 14.3-53C87.4 130.8 165 172.4 252.1 176.9c-1.6-7.8-2.6-15.9-2.6-24C249.5 95.1 296.3 48 354.4 48c30.2 0 57.5 12.7 76.7 33.1 23.7-4.5 46.5-13.3 66.6-25.3-7.8 24.4-24.4 44.8-46.1 57.8 21.1-2.3 41.6-8.1 60.4-16.2-14.3 20.8-32.2 39.3-52.6 54.3"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://www.linkedin.com/groups/1937212/" target="_blank" rel="noopener" title="www.linkedin.com" class="md-social__link">
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3M135.4 416H69V202.2h66.5V416zM102.2 96a38.5 38.5 0 1 1 0 77 38.5 38.5 0 1 1 0-77m282.1 320h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9z"/></svg>
|
||
</a>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</footer>
|
||
|
||
</div>
|
||
<div class="md-dialog" data-md-component="dialog">
|
||
<div class="md-dialog__inner md-typeset"></div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
<script id="__config" type="application/json">{"annotate": null, "base": "..", "features": ["navigation.tabs", "navigation.tabs.sticky", "navigation.top", "navigation.tracking", "navigation.sections", "navigation.expand", "navigation.indexes", "search.suggest", "search.highlight", "search.share", "content.code.copy", "content.action.view", "content.action.edit", "content.tooltips", "navigation.prune", "toc.integrate"], "search": "../assets/javascripts/workers/search.2c215733.min.js", "tags": null, "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}, "version": {"provider": "mike"}}</script>
|
||
|
||
|
||
<script src="../assets/javascripts/bundle.79ae519e.min.js"></script>
|
||
|
||
<script src="../static/v2_filter.js"></script>
|
||
|
||
|
||
</body>
|
||
</html> |