This repository contains a book on AI Agent development titled AI Agent 开发实战 (AI Agent In Action). It covers foundational theory including decision-making frameworks and Markov decision processes. The material progresses through design and development processes including architecture, environment construction, and learning optimization. Practical applications span dialogue systems, game AI, robotics, recommendation systems, and autonomous driving. Advanced topics include multi-agent systems, explainability, ethics, and future trends.