Agentic AI Workflows: How to Design, Build, and Improve Autonomous Systems for Real-World Software Projects

Design agentic AI workflows that can plan, execute, evaluate, and improve multi-step software tasks. Agentic AI Workflows provides a practical framework for building autonomous and semi-autonomous AI systems for real-world development projects. You will learn how to define goals, break work into tasks, manage context, connect tools, coordinate agents, validate results, recover from failures, and create reliable human approval points. Rather than focusing only on individual agents, this book emphasizes the workflows that connect AI decisions to meaningful actions. It explains how to structure multi-step processes for coding, debugging, testing, documentation, and other software development activities. Designed for developers, automation engineers, technical builders, and readers interested in advanced AI systems, this guide will help you move from experimental agents toward more dependable, observable, and maintainable agentic AI workflows.