LangGraph in Small Pieces: Building AI Agents from Blocks to Production

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Summary

A free online book, 'LangGraph in Small Pieces,' teaches building AI agents from fundamentals to production using real local-model runs, hands-on challenges, and a public GitHub repo. It covers state, nodes, tool calling, MCP, streaming, RAG, observability, and deploys, pinned to LangGraph 1.2.14.

LangGraph in Small Pieces: Building AI Agents from Blocks to Production - it's free online What’s in it: • Part I is LangGraph on its own, one small piece at a time: state, nodes, edges, loops, checkpoints, interrupts. No LLM yet, on purpose. • Part II brings in a real model: tool calling, structured output, MCP, memory, streaming, middleware, testing. • Part III is the production stuff: serving, async, observability, RAG, evaluation, blue-green deploys, guardrails. Things it's done a little different from other books: - Every transcript in the book is a real run, pasted as-is, including the times the model did something dumb. And it all runs on a local model by default (Qwen3.8-27B via LM Studio), so you can follow along without an API bill. - Every chapter ends with Bronze/Silver/Gold challenges, worked solutions in the repo: github.com/LgISP/langgraph-in-small-pieces - It has lots of silly illustrations. Pinned to langgraph 1.2.14 / langchain-core 1.6.9.
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