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chore: update docs/ai.md [20260518-1212]
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- [hipertextual.com: Diferencias entre Inteligencia Artificial, Machine Learning y Deep Learning](https://hipertextual.com/2023/02/diferencias-ia-machine-learning)
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- [businessinsider.es: Los ingenieros de software están aterrorizados ante la posibilidad de ser sustituidos por la IA](https://www.businessinsider.es/tecnologia/ingenieros-software-estan-aterrorizados-posibilidad-ser-sustituidos-ia-1238112)
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- [computerhoy.com: ¿Qué es el 'Deep Learning' y por qué se considera una revolución en la inteligencia artificial?](https://computerhoy.20minutos.es/)
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- [poloclub.github.io: What is a Convolutional Neural Network?](https://poloclub.github.io/cnn-explainer//)
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- [poloclub.github.io: What is a Convolutional Neural Network?](https://poloclub.github.io/cnn-explainer///)
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- [freecodecamp.org: Ace Your Deep Learning Job Interview](https://www.freecodecamp.org/news/ace-your-deep-learning-job-interview/)
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- [freecodecamp.org: Deep Learning Fundamentals Handbook – What You Need to Know to Start Your Career in AI](https://www.freecodecamp.org/news/deep-learning-fundamentals-handbook-start-a-career-in-ai/)
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- [==aman.ai/primers/ai: Distilled AI==](https://aman.ai/primers/ai//) Here’s a hand-picked selection of articles on AI fundamentals/concepts that cover the entire process of building neural nets to training them to evaluating results.
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- [==aman.ai/primers/ai/LLM: Primers - Overview of Large Language Models==](https://aman.ai/primers/ai//LLM//)
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- [==aman.ai/primers/ai: Distilled AI==](https://aman.ai/primers/ai///) Here’s a hand-picked selection of articles on AI fundamentals/concepts that cover the entire process of building neural nets to training them to evaluating results.
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- [==aman.ai/primers/ai/LLM: Primers - Overview of Large Language Models==](https://aman.ai/primers/ai///LLM//)
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- [forbesargentina.com: Por qué Nvidia, Google y Microsoft apuestan miles de millones en modelos LLM de IA Generativa para biotecnología](https://www.forbesargentina.com/innovacion/por-nvidia-google-microsoft-apuestan-miles-millones-modelos-llm-ia-generativa-biotecnologia-n49278)
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- [youtube: AWS re:Invent 2023 - From hype to impact: Building a generative AI architecture (ARC217)](https://www.youtube.com/watch?v=1Lat8dP7Eq0) Generative AI represents a paradigm shift for how companies operate today. Generative AI is empowering developers to reimagine customer experiences and applications while transforming virtually every industry. Organizations are rapidly innovating to create the right architecture for scaling generative AI securely, economically, and responsibly to deliver business value. In this talk, learn how leaders are modernizing their data foundation, selecting industry-leading foundation models, and deploying purpose-built accelerators to unlock the possibilities of generative AI.
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## Transformers Library
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- [github.com/NielsRogge/Transformers-Tutorials](https://github.com/NielsRogge/Transformers-Tutorials)
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- [aman.ai: Transformers](https://aman.ai/primers/ai//transformers//)
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- [aman.ai: Primers • Bidirectional Encoder Representations from Transformers (BERT)](https://aman.ai/primers/ai//bert//)
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- [aman.ai: Primers • Generative Pre-trained Transformer (GPT)](https://aman.ai/primers/ai//gpt//)
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- [aman.ai: Transformers](https://aman.ai/primers/ai///transformers//)
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- [aman.ai: Primers • Bidirectional Encoder Representations from Transformers (BERT)](https://aman.ai/primers/ai///bert//)
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- [aman.ai: Primers • Generative Pre-trained Transformer (GPT)](https://aman.ai/primers/ai///gpt//)
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## LLMOps
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- [Development Environments for Cloud Agents](https://cursor.com/blog/cloud-agent-development-environments) 🌟 - This article introduces Cursor's new tools for configuring development environments for cloud agents. It highlights the importance of robust environments for agents to perform end-to-end engineering tasks, including accessing codebases, dependencies, credentials, and build systems. The feature supports multi-repo environments, allowing agents to reason across multiple codebases, which is crucial for microservice architectures.
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- [Docker for LLMs](https://www.docker.com/llm/) - *(Related to docker topic)*
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- [Learn to Manage Investments and Cost Efficiency of Azure and AI Workloads](https://techcommunity.microsoft.com/blog/finopsblog/learn-to-manage-investments-and-cost-efficiency-of-azure-and-ai-workloads/4396862) - *(Related to finops topic)*
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- [How to run Deepseek R1 LLMs on GPU Droplets](https://www.digitalocean.com/community/tutorials/deepseek-r1-gpu-droplets) 🌟 - This tutorial guides users on deploying the Deepseek R1 series of open-source Large Language Models (LLMs) on DigitalOcean's GPU Droplets. It leverages Ollama for easy model execution, focusing on the reasoning capabilities of these new LLMs and their potential to match proprietary alternatives.
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- [Automate Pull Request Descriptions in Azure DevOps with Azure OpenAI](https://johnlokerse.dev/2025/02/10/automate-pull-request-descriptions-in-azure-devops-with-azure-openai//) - *(Related to cicd topic)*
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- [Automate Pull Request Descriptions in Azure DevOps with Azure OpenAI](https://johnlokerse.dev/2025/02/10/automate-pull-request-descriptions-in-azure-devops-with-azure-openai///) - *(Related to cicd topic)*
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- [github.com/tensorchord/Awesome-LLMOps: Awesome LLMOps](https://github.com/tensorchord/Awesome-LLMOps) An awesome & curated list of best LLMOps tools for developers
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- [valohai.com/blog/llmops/](https://valohai.com/blog/llmops//) LLMOps: MLOps for Large Language Models
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- [valohai.com/blog/llmops/](https://valohai.com/blog/llmops///) LLMOps: MLOps for Large Language Models
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- [github.com/mlabonne/llm-course](https://github.com/mlabonne/llm-course) Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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- [itnext.io: Deploy Flexible and Custom Setups with Anything LLM on Kubernetes](https://itnext.io/deploy-flexible-and-custom-setups-with-anything-llm-on-kubernetes-a2b5687f2bcc) Step-by-Step Guide to Deploy Anything LLM with OpenAI, Azure AI, and Ollama
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## The MAD (ML/AI/Data) Landscape
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- [Ignore Prior Instructions: AI Still Befuddled by Basic Reasoning](https://thenewstack.io/ignore-prior-instructions-ai-still-befuddled-by-basic-reasoning//) - An article discussing the limitations of current AI models, particularly their struggles with understanding and acting upon explicit instructions and basic reasoning, even when the instructions are clear. It highlights how AI can still be 'befuddled' by simple logical tasks.
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- [Ignore Prior Instructions: AI Still Befuddled by Basic Reasoning](https://thenewstack.io/ignore-prior-instructions-ai-still-befuddled-by-basic-reasoning///) - An article discussing the limitations of current AI models, particularly their struggles with understanding and acting upon explicit instructions and basic reasoning, even when the instructions are clear. It highlights how AI can still be 'befuddled' by simple logical tasks.
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- [mad.firstmark.com: The MAD (ML/AI/Data) Landscape](https://mad.firstmark.com/)
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- [Warp: The Agentic Development Environment](https://www.warp.dev/) - *(Related to kubernetes-tools topic)*
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- [==k8sgpt.ai==](https://k8sgpt.ai/) K8sGPT is a tool for scanning your kubernetes clusters, diagnosing and triaging issues in simple english. It has SRE experience codified into its analyzers and helps to pull out the most relevant information to enrich it with AI.
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- [collabnix.com: The Rise of Kubernetes and AI – Kubectl OpenAI plugin](https://collabnix.com/the-rise-of-kubernetes-and-ai-kubectl-openai-plugin//)
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- [collabnix.com: The Rise of Kubernetes and AI – Kubectl OpenAI plugin](https://collabnix.com/the-rise-of-kubernetes-and-ai-kubectl-openai-plugin///)
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## IaC Terraform and AI
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- [Terraform 2.0 in Practice: Using AI to Generate Infrastructure as Code](https://markaicode.com/terraform-ai-infrastructure-as-code/) - *(Related to terraform topic)*
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- [Discussion: Where is AI Still Completely Useless?](https://www.reddit.com/r/Terraform/comments/1l7my1x/where_is_ai_still_completely_useless_for/) - A Reddit discussion exploring the current limitations of AI and identifying areas where it remains ineffective or completely useless. The conversation touches on various domains and tasks.
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- [AI Meets Terraform: Prompt Strategies for Test Generation](https://masterpoint.io/blog/ai-meets-tf-prompt-strategies-for-test-generation//) 🌟 - This article details the experience of developing and refining an LLM prompt using Cursor and Claude Code to generate meaningful Terraform tests. It explores various experimental approaches, emphasizes strategies for creating "durable prompts," and shares the final prompt in a GitHub repository. The content highlights the value of AI in Infrastructure as Code (IaC) workflows, specifically for writing tests for Terraform child modules, and provides takeaways for crafting effective prompts.
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- [AI Meets Terraform: Prompt Strategies for Test Generation](https://masterpoint.io/blog/ai-meets-tf-prompt-strategies-for-test-generation///) 🌟 - This article details the experience of developing and refining an LLM prompt using Cursor and Claude Code to generate meaningful Terraform tests. It explores various experimental approaches, emphasizes strategies for creating "durable prompts," and shares the final prompt in a GitHub repository. The content highlights the value of AI in Infrastructure as Code (IaC) workflows, specifically for writing tests for Terraform child modules, and provides takeaways for crafting effective prompts.
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- [AWS Well-Architected IaC Analyzer](https://github.com/aws-samples/well-architected-iac-analyzer/) - *(Related to aws-architecture topic)*
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- [hashicorp.com: Accelerate your Terraform development with Amazon CodeWhisperer](https://www.hashicorp.com/blog/accelerate-your-terraform-development-with-amazon-codewhisperer)
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## IaC CloudFormation and AI
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- [IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC](https://aws.amazon.com/blogs/aws/ide-extension-for-aws-application-composer-enhances-visual-modern-applications-development-with-ai-generated-iac//)
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- [IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC](https://aws.amazon.com/blogs/aws/ide-extension-for-aws-application-composer-enhances-visual-modern-applications-development-with-ai-generated-iac///)
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## Programming
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- [Tech companies cutting devs for AI](https://www.reddit.com/r/ProgrammerHumor/comments/1tbzih8/techcompaniescuttingdevsforai/) - A Reddit post from r/ProgrammerHumor discussing the trend of tech companies reducing their developer workforce in favor of AI.
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- [Extend your coding agent with .NET Skills](https://devblogs.microsoft.com/dotnet/extend-your-coding-agent-with-dotnet-skills//) 🌟 - This blog post introduces the dotnet/skills repository, a collection of agent skills designed to enhance coding agents for .NET developers. These skills provide specialized knowledge and context that coding agents can discover and utilize, improving their ability to solve tasks with less trial and error. The post explains the concept of agent skills and their adherence to the Agent Skills specification, which is supported by various coding agents like GitHub Copilot CLI, Visual Studio, and VS Code.
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- [Extend your coding agent with .NET Skills](https://devblogs.microsoft.com/dotnet/extend-your-coding-agent-with-dotnet-skills///) 🌟 - This blog post introduces the dotnet/skills repository, a collection of agent skills designed to enhance coding agents for .NET developers. These skills provide specialized knowledge and context that coding agents can discover and utilize, improving their ability to solve tasks with less trial and error. The post explains the concept of agent skills and their adherence to the Agent Skills specification, which is supported by various coding agents like GitHub Copilot CLI, Visual Studio, and VS Code.
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- [Best Practices for Using GitHub Copilot](https://docs.github.com/en/copilot/get-started/best-practices) 🌟 - A guide detailing the strengths, weaknesses, and optimal usage scenarios for GitHub Copilot, differentiating between inline suggestions and Copilot Chat for various coding tasks, including writing tests, debugging, code generation, and explanation.
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- [Programming with GitHub Copilot Agent Mode](https://techcommunity.microsoft.com/blog/azuredevcommunityblog/programming-with-github-copilot-agent-mode/4400630) 🌟 - This article explores the capabilities of GitHub Copilot's agent mode, detailing how it can assist developers in various programming tasks. It highlights its potential to streamline workflows and enhance productivity within development environments.
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- [Google Launches Gemini Code Assist, Challenging GitHub Copilot with Generous Free Tier](https://www.xataka.com/robotica-e-ia/google-lanza-misil-github-copilot-su-asistente-programacion-ofrece-mucho-uso-gratuito-que-microsoft) - Google has introduced Gemini Code Assist, an AI-powered programming assistant that aims to compete with GitHub Copilot. A key differentiator is its significantly larger free usage tier, offering 180,000 queries per month compared to GitHub Copilot's 2,000, making it a more accessible option for developers to explore and adopt.
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- [apmdigest.com: What Can AIOps Do For IT Ops? - Part 3](https://www.apmdigest.com/aiops-itops-3)
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- [apmdigest.com: What Can AIOps Do For IT Ops? - Part 4](https://www.apmdigest.com/aiops-itops-4)
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- [apmdigest.com: What Can AIOps Do For IT Ops? - Part 5](https://www.apmdigest.com/aiops-itops-5)
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- [thenewstack.io: The Urgency Driving AIOps into Your Enterprise](https://thenewstack.io/the-urgency-driving-aiops-into-your-enterprise//)
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- [thenewstack.io: Intelligent Automation: What’s the Missing Piece of AIOps?](https://thenewstack.io/intelligent-automation-whats-the-missing-piece-of-aiops//)
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- [thenewstack.io: The Urgency Driving AIOps into Your Enterprise](https://thenewstack.io/the-urgency-driving-aiops-into-your-enterprise///)
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- [thenewstack.io: Intelligent Automation: What’s the Missing Piece of AIOps?](https://thenewstack.io/intelligent-automation-whats-the-missing-piece-of-aiops///)
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- [infoworld.com: 5 best practices for securing CI/CD pipelines](https://www.infoworld.com/article/2336728/5-best-practices-for-securing-cicd-pipelines.html) Build in
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security from the beginning with continuous testing, automation, zero trust, and AIops.
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- [infoq.com: AIOps: Site Reliability Engineering at Scale](https://www.infoq.com/articles/aiops-reliability-engineering//)
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- [infoq.com: AIOps: Site Reliability Engineering at Scale](https://www.infoq.com/articles/aiops-reliability-engineering///)
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- [hashicorp.com: Accelerating AI adoption on Azure with Terraform](https://www.hashicorp.com/blog/accelerating-ai-adoption-on-azure-with-terraform)
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- [hashicorp.com: AI for infrastructure management](https://www.hashicorp.com/solutions/ai-infrastructure-management) Accelerate your IT operations and support AIOps implementation with HashiCorp.
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- [platformengineering.org: AI is changing the future of platform engineering. Are you ready?](https://platformengineering.org/blog/ai-is-changing-the-future-of-platform-engineering-are-you-ready) AI is changing the future of platform engineering. And the future is much closer than you might think.
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- [aws.amazon.com/blogs/industries: BMW Group Develops a GenAI Assistant to Accelerate Infrastructure Optimization on AWS](https://aws.amazon.com/blogs/industries/bmw-group-develops-a-genai-assistant-to-accelerate-infrastructure-optimization-on-aws//)
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- [aws.amazon.com/blogs/industries: BMW Group Develops a GenAI Assistant to Accelerate Infrastructure Optimization on AWS](https://aws.amazon.com/blogs/industries/bmw-group-develops-a-genai-assistant-to-accelerate-infrastructure-optimization-on-aws///)
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## Other Tools
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- [Cerebras AI](https://www.cerebras.ai/) - Cerebras offers an AI platform with a free API providing access to various large language models like GPT OSS, Qwen, GLM, and Llama. The service boasts high request limits, fast inference, and options for cloud serving, dedicated scaling, and on-premise deployment. Their hardware, the Wafer-Scale Engine, is designed for ultra-fast AI workloads.
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- [GitHub Copilot CLI for Beginners: Getting Started](https://github.blog/ai-and-ml/github-copilot/github-copilot-cli-for-beginners-getting-started-with-github-copilot-cli//?utm_source=twitter-cli-beginners-getting-started-cta&utm_medium=social&utm_campaign=dev-pod-copilot-cli-2026) - A beginner's guide to GitHub Copilot CLI, introducing its capabilities for bringing AI assistance directly into the terminal for faster workflow and code generation. Covers installation, authentication, and initial prompt usage.
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- [Using Workspaces for AI Changes Across Multiple Repos](https://ettema.dev/posts/ai-multi-repo-workspaces//) - This article explores a workflow for using AI development tools, like GitHub Copilot, when changes span multiple repositories. It proposes creating feature-specific multi-root workspaces in IDEs (e.g., VS Code) to provide AI agents with comprehensive context across different codebases, improving efficiency compared to single-repo operations.
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- [GitHub Copilot CLI for Beginners: Getting Started](https://github.blog/ai-and-ml/github-copilot/github-copilot-cli-for-beginners-getting-started-with-github-copilot-cli///?utm_source=twitter-cli-beginners-getting-started-cta&utm_medium=social&utm_campaign=dev-pod-copilot-cli-2026) - A beginner's guide to GitHub Copilot CLI, introducing its capabilities for bringing AI assistance directly into the terminal for faster workflow and code generation. Covers installation, authentication, and initial prompt usage.
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- [Using Workspaces for AI Changes Across Multiple Repos](https://ettema.dev/posts/ai-multi-repo-workspaces///) - This article explores a workflow for using AI development tools, like GitHub Copilot, when changes span multiple repositories. It proposes creating feature-specific multi-root workspaces in IDEs (e.g., VS Code) to provide AI agents with comprehensive context across different codebases, improving efficiency compared to single-repo operations.
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- [Awesome NotebookLM Slide Prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) - A curated collection of NotebookLM and Kael.im slide prompts, sourced from various creative platforms like WeChat, blogs, RED creators, and Twitter/X power users. These prompts are designed to be used with AI tools for generating presentations from documents, notes, and transcripts.
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- [Tabularis: Open Source Desktop Client for Modern Databases with AI and MCP Integration](https://github.com/TabularisDB/tabularis/blob/main/README.es.md) - *(Related to kubernetes-tools topic)*
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- [Skills for Real Engineers](https://github.com/mattpocock/skills) - A GitHub repository containing a collection of agent skills designed for real engineering tasks, focusing on composability, adaptability, and ease of use. These skills aim to assist in developing real applications by providing a more controlled and debuggable approach compared to other development methodologies.
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- [Google Agents CLI](https://github.com/google/agents-cli) 🌟 - The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud. It integrates with Gemini CLI, Claude Code, and Codex.
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- [Draw.io MCP for Diagram Generation: Why It’s Worth Using](https://thomasthornton.cloud/draw-io-mcp-for-diagram-generation-why-its-worth-using//) - *(Related to cloud-arch-diagrams topic)*
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- [Draw.io MCP for Diagram Generation: Why It’s Worth Using](https://thomasthornton.cloud/draw-io-mcp-for-diagram-generation-why-its-worth-using///) - *(Related to cloud-arch-diagrams topic)*
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- [Claude Code Templates](https://github.com/davila7/claude-code-templates) - A GitHub repository containing a CLI tool for configuring and monitoring Claude Code, a project potentially related to AI-driven code generation or assistance.
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- [Quiz Grader](https://github.com/ned1313/quiz-grader) - A GitHub repository containing a certification quiz application and question generator with prompt creator, designed to assist users in studying for technology certification exams through AI-generated practice questions.
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- [Azure DevOps MCP Server Public Preview](https://devblogs.microsoft.com/devops/azure-devops-mcp-server-public-preview//) - This blog post announces the public preview of Azure DevOps MCP Server, a local tool that enhances AI assistants like GitHub Copilot by providing them with rich, real-time context from Azure DevOps environments. It enables AI to access and interact with work items, pull requests, test plans, builds, releases, and wiki pages, offering more tailored and accurate responses without data leaving the user's system. The post includes an example of generating test cases from user stories and links to setup instructions.
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- [Azure DevOps MCP Server Public Preview](https://devblogs.microsoft.com/devops/azure-devops-mcp-server-public-preview///) - This blog post announces the public preview of Azure DevOps MCP Server, a local tool that enhances AI assistants like GitHub Copilot by providing them with rich, real-time context from Azure DevOps environments. It enables AI to access and interact with work items, pull requests, test plans, builds, releases, and wiki pages, offering more tailored and accurate responses without data leaving the user's system. The post includes an example of generating test cases from user stories and links to setup instructions.
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- [Awesome MCP Servers](https://github.com/punkpeye/awesome-mcp-servers) - *(Related to ai-agents-mcp topic)*
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- [github.com/jupyterlab/jupyter-ai](https://github.com/jupyterlab/jupyter-ai) A generative AI extension for JupyterLab
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