A structured roadmap for learning agentic programming from zero to production. Covers the four core components of agentic systems (reasoning engine, memory, tools, goal management), the ReAct loop, three-tier memory architecture (short-term, long-term via vector DBs, episodic), and tool design principles. Compares major frameworks including LangGraph, CrewAI, Anthropic direct API, and Microsoft Agent Framework. Includes a concrete 6-month learning plan, guidance on multi-agent orchestrator-worker patterns, and production concerns like observability, cost management, failure modes, and human-in-the-loop design.
Table of contents
IntroductionAgentic ProgrammingWhat to Learn Before You Build AgentsHow Agents Actually WorkWhat to Actually Build With (The Frameworks)Building Your First AgentMulti-Agent SystemsWorking in ProductionYour Learning Path (Month by Month)ConclusionSort: