[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODA5OTM","title","Harness Engineering for AI Agents: Re:Zero, Starting AI Software Engineering from Zero","state","published","contactAuthorMethod","email","aboutText","

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.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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