Documentation
A free, practical knowledge base on AI engineering — large language models, prompt engineering, retrieval, and building agents from first loop to production.
Foundations
The concepts and skills every other topic builds on — how models work and how to prompt them.
Building Agents
From a single tool call to a multi-step agent — the APIs, protocols, and frameworks for agentic AI.
Claude Agents
Building agents with the Claude API: tool use, the Agent SDK, and Anthropic's agentic patterns.
1 articleOpenAI Agents
Building agents with the OpenAI API: function calling, the Assistants API, and the Agents SDK.
1 articleMCP Servers
Model Context Protocol — the open standard for connecting AI to external tools and data.
1 articleAgent Frameworks
LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen — when to use each and how they compare.
5 articlesCreating Agents
Step-by-step tutorials for building AI agents from scratch — from first loop to production.
1 articleAI Engineering
Shipping AI to production — retrieval, integration, AI-assisted coding, evals, and cost.
RAG & Retrieval
Retrieval-augmented generation: embeddings, vector databases, chunking, and grounding LLMs in your data.
4 articlesAI-Assisted Coding
Shipping faster with Claude Code, Cursor, and Copilot — workflows, prompts, and pitfalls.
3 articlesLLM APIs & Integration
Calling LLM APIs in production: streaming, structured output, rate limits, retries, and cost control.
5 articles