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Introduces a complete learning resource called Agentic Design Patterns, including a 424-page PDF and companion Jupyter Notebook, systematically covering various AI Agent design patterns from prompt chaining and routing to multi-agent, RAG, and more.
A senior Google engineer released a free 421-page document covering agentic design patterns for AI systems, with code-backed chapters on prompt chaining, multi-agent coordination, guardrails, and reasoning.
A Google senior engineer publicly released a 421-page document titled 'Agentic Design Patterns', covering 21 production-ready patterns for building reliable AI agents, including multi-agent orchestration, MCP, and guardrails, with code examples in LangChain, LangGraph, CrewAI, and Google ADK.
Google engineer publicly released the 421-page Agentic Design Patterns document for free, recommending key chapters for independent developers including MCP protocol, guardrails evaluation, and multi-agent patterns.