Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero

Description

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 by Luke Yang! 0:00 Luke Yang introduces himself, his background at Naver, and his open-source AI project Naya 0:49 Overview of the book: why generating code is not the same as building reliable software 0:49 Definition of Harness Engineering: making AI work reviewable, transferable, testable, and maintainable 1:41 Who the book is for: developers and team leaders using AI coding tools in real projects 1:41 Why Harness Engineering matters for those who want to build their own AI rather than rely on big tech services 2:30 Why smaller and local models need stronger harnesses: memory, context, tools, permissions, and verification 3:16 Local-oriented AI philosophy: giving users real control over their AI memory and data 4:03 What Naya is: a local-oriented visual agent and AI workspace with long-term memory and tool use 4:58 How readers can participate in the Naya open-source project through code, docs, testing, and translation 5:48 Closing remarks on the book's preface and its blend of personal history with practical engineering guidance 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 engineerig Thank you for watching, please like and leave a comment, we'd love to hear from you! Please Subscribe and Follow! YouTube: https://www.youtube.com/leanpub X: https://x.com/leanpub Instagram: https://www.instagram.com/leanpub Facebook: https://www.facebook.com/leanpub Create Your Own Leanpub Book! You can create your own book anytime here: https://leanpub.com/create/book Here's the tutorial showing how to write and publish a Leanpub book in your browser (it's free!): http://help.leanpub.com/en/articles/2932527-getting-started-writing-a-book-in-the-web-browser-writing-mode If you're a Leanpub author and you'd like to submit your own Launch video for us to publish, or if you'd like to record a Launch video with Len, please go here: https://leanpub.com/launch. #books #leanpublishing #selfpublishing #leanpub #writing #HarnessEngineering #AIAgents #LocalAI #OpenSourceAI #AIAssistedDevelopment