Step-by-step learning guides
Learn how to build production-grade AI agents with PydanticAI v1. Covers structured outputs, type-safe tools, dependency injection, MCP integration, and observability with Logfire — all with working code examples.
Learn how to build production-ready MCP servers using FastMCP 3.0 and Python. Covers tools, resources, providers, transforms, database integration, authentication, OpenTelemetry observability, and deployment.
A practical guide to building production-grade LLM tool use — from Claude and OpenAI function calling basics through parallel execution, tool search, error handling, and security hardening with working code examples.
Move beyond basic retrieve-and-generate. Learn how to build agentic RAG pipelines that grade their own retrieval, rewrite queries on the fly, and self-correct before answering — with production-ready LangGraph code and evaluation strategies.