Leanpub Book LAUNCH 🚀 Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero: Contracts, Traceability, Verification, and Operations for AI-Assisted Development by Luke…

Leanpub has launched a new book, 'Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero: Contracts, Traceability, Verification, and Operations for AI-Assisted Development' by Luke Yang, which focuses on using contracts, review gates, traces, checks, and measurements to make AI-generated work inspectable and trustworthy in real projects. The book draws from the author's naia open-source projects and aims to help developers maintain engineering control over AI agents that produce large amounts of plausible work quickly.

Books https://leanpub.com/blog/tag/books/ Leanpub Book LAUNCH 🚀 Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero: Contracts, Traceability, Verification, and Operations for AI-Assisted Development by Luke Yang In this book, a harness means the contracts, review gates, traces, checks, and measurements around an AI agent so its work can be inspected instead of merely trusted. Welcome to the Leanpub Launch video for Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero: Contracts, Traceability, Verification, and Operations for AI-Assisted Development https://leanpub.com/naia-harness?ref=leanpub.com by Luke Yang About the Book AI-assisted development often fails in a familiar way: a task looks complete, then collapses under review, tests, or integration. The project goes back to structure, evidence, and first principles. This book is about reducing that repeated collapse. In this book, a harness means the contracts, review gates, traces, checks, and measurements around an AI agent so its work can be inspected instead of merely trusted. The point is not to make AI sound magical. The point is to keep engineering control when AI can produce large amounts of plausible work very quickly. The examples are drawn from the author's own naia open-source projects, work logs, agent instructions, failed verification runs, review gates, and the fixes that followed. The book treats AI agents not as simple model calls, but as software contributors that need scope, boundaries, evidence, and external verification. This is not a clone-coding tutorial or a book of final answers. It is for developers who already use AI coding tools and now need a way to make AI-generated work trustworthy in real projects. About the Author Passionate about AI-assisted coding, AI agent development, and open source innovation.Open to collaboration with those shaping the future of software engineering.