What do you think?
AI Agents in Action, Second Edition: Intelligent workflows with LLMs, MCP, A2A, and more
391 pages, Paperback
Published July 14, 2026
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
July 19, 2026
Agentic applications are quickly becoming the foundation for building intelligent enterprise solutions that can drive significant productivity and business value. However, developing agentic applications is not simple. It requires a solid understanding of how different components such as MCP, memory, reasoning, RAG, tools, and orchestration fit together to create reliable and effective AI systems.
Building an agent is only one side of the coin. Deploying, monitoring, governing, and managing agents in production is equally important. Ignoring these aspects can lead not only to lost productivity but also financial costs, security risks, and reputational damage. Understanding when to use different models, how to avoid reasoning loops, how to manage agent behavior, and how to secure agents in enterprise environments becomes critical as organizations move from experimentation to real-world adoption.
This book does an excellent job of covering the foundations behind these concepts and presents them in a practical, easy-to-digest manner. The author explains both the technical building blocks and the operational considerations required to run agents successfully at scale. I particularly appreciated the focus on security, governance, and production readiness—topics that are often overlooked in many AI books but are essential for enterprise adoption.
Overall, anyone looking to understand what it takes to build agentic applications and successfully scale them from proof of concept to production will benefit from reading this book. Whether you are an architect, developer, engineering leader, or technology decision-maker, this book provides a solid foundation for navigating the rapidly evolving world of AI agents.
Building an agent is only one side of the coin. Deploying, monitoring, governing, and managing agents in production is equally important. Ignoring these aspects can lead not only to lost productivity but also financial costs, security risks, and reputational damage. Understanding when to use different models, how to avoid reasoning loops, how to manage agent behavior, and how to secure agents in enterprise environments becomes critical as organizations move from experimentation to real-world adoption.
This book does an excellent job of covering the foundations behind these concepts and presents them in a practical, easy-to-digest manner. The author explains both the technical building blocks and the operational considerations required to run agents successfully at scale. I particularly appreciated the focus on security, governance, and production readiness—topics that are often overlooked in many AI books but are essential for enterprise adoption.
Overall, anyone looking to understand what it takes to build agentic applications and successfully scale them from proof of concept to production will benefit from reading this book. Whether you are an architect, developer, engineering leader, or technology decision-maker, this book provides a solid foundation for navigating the rapidly evolving world of AI agents.
August 20, 2026
One and a single best resource for the hands-on deep dive in the hyping field of Agentic AI pipelines! I liked the in-depth coverage of the topic, and this book is nicely paired as a next logical step after another Manning book - Build Large Language Model from Scratch.
Displaying 1 - 2 of 2 reviews