Practical AI Guides
Opinionated, technical guides on the AI topics that matter. No fluff — just what you need to understand and build.
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A complete introduction to using AI as a true coding collaborator — beyond autocomplete to full agentic workflows where Claude plans, implements, tests, and iterates.
Learn how RAG works from first principles — embeddings, vector stores, chunking, and prompt construction — with practical examples for building your own knowledge-grounded AI system.
MCP is becoming the standard for connecting AI assistants to tools, databases, and APIs. This guide explains the protocol from first principles and walks through building your first MCP server.
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Move beyond basic prompting to advanced techniques that make AI outputs consistent, reliable, and production-ready — chain-of-thought, XML structuring, few-shot design, and evaluation.