diff --git a/docs/ai.md b/docs/ai.md index 299f6075..535fc6b3 100644 --- a/docs/ai.md +++ b/docs/ai.md @@ -47,6 +47,10 @@ - [aman.ai: Primers • Generative Pre-trained Transformer (GPT)](https://aman.ai/primers/ai/gpt/) ## LLMOps + - [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. + - [Cursor AI Fundamentals Course](https://cursor.com/es/learn) - Official tutorials for Cursor, covering AI fundamentals including models, tokens, hallucinations, agents, MCP, skills, and context. The course is in Spanish and consists of 13 modules. + - [Cursor Bugbot Effort Levels Documentation](https://cursor.com/docs/bugbot#effort-levels) - Documentation for Cursor's Bugbot, introducing 'effort levels' for users on usage-based plans. These levels can be configured via the Bugbot dashboard. + - [Claude Code in Action](https://anthropic.skilljar.com/claude-code-in-action) - A course from Anthropic Academy that provides comprehensive training on using Claude Code for software development tasks. It covers the underlying architecture of AI coding assistants, practical implementation techniques, and advanced integration strategies. Key topics include understanding coding assistant architecture, exploring Claude Code's tool use system, mastering context management techniques, implementing visual communication workflows, creating custom automation, and extending functionality with MCP servers. - [LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) 🌟 - A GitHub repository that provides a step-by-step implementation of a ChatGPT-like Large Language Model (LLM) using PyTorch, covering development, pretraining, and finetuning. - [Claude Code Best Practice](https://github.com/shanraisshan/claude-code-best-practice) - *(Related to ai-agents-mcp topic)* - [Docker for LLMs](https://www.docker.com/llm/) - *(Related to docker topic)* @@ -93,6 +97,8 @@ - [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/) ## Programming + - [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. + - [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. - [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. - [Programming with GitHub Copilot Agent Mode](https://t.co/FhNsA9iy4Q) 🌟 - 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. - [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. @@ -128,6 +134,8 @@ security from the beginning with continuous testing, automation, zero trust, and - [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/) ## Other Tools + - [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. + - [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. - [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. - [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. - [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)*