Happy Labor Day weekend! HALF OFF all eBook, print, MEAP, and liveAudio! $10 liveProjects and liveVideos! Manning Online Pro annual subscriptions just $199.99! 20% OFF Manning Online Team annual subscriptions! Offer ends midnight September 7th.Only at manning.com.
Labor Day weekend marks the end of swimming pool season for neighborhoods across the US. We humbly suggest that you take advantage of our Labor Day sale to stock up on Manning books so you'll have something to do after the lawn chairs are stacked and the tarp is rolled out.
New MEAP! Agent Design Patterns
Agent Design Patterns distills the experience of a growing community of AI agent builders into 20+ composable, reusable patterns for building AI agents that are reliable, efficient, controllable, and easy to reason about. In this uniquely-valuable book, author and NVIDIA Research scientist Peter Belcak gives you a durable engineering vocabulary and design intuition that outlasts any new model release.
Each pattern included here is production-tested, and designed to click together as you construct transparent, testable, deployment-ready agentic applications. You’ll really appreciate the familiar
presentation style, with a simple template of a named problem, a clear solution, benefits, drawbacks, popular variants, and rules for composition with other patterns! [Read more]
5 chapters of this new MEAP are available now with more to follow soon!
For AI coding agents, accurately specifying your intent is the whole ballgame! Spec-Driven Development: Engineering with intent teaches you how to close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself.
As you explore the intent-first spec-driven development model, you’ll learn to adjust your
process for differences in alignment, human and agentic collaboration, and evolving outcomes. As the project scales into microservices, multiple repositories, and cross-team coordination, you’ll see how intent-led development pays out with infrastructure, deployment, security, acceptance testing, and architectural governance. Everything you’ll read and do is grounded in established software engineering fundamentals—extreme programming, legacy code refactoring, technical debt management—so you can connect new AI workflows to what you already know.
