Quality gates that turn AI from "check every line" into "merge on green." Build a layered gate system (rails, build, CI, AI review) that makes it structurally impossible for an AI session to ship code below your team's standard.
Written in the open on Leanpub. Read who it is for before you buy.
Quality gates are the layers code must pass to reach production. The book builds them one at a time against a real, public app, so you watch each gate catch a live defect before the next one goes in.
AGENTS.md and CLAUDE.md that load the right context and constraints into every AI session, so it starts inside your guardrails instead of outside them.
Compile-time guarantees and analyzers that fail the build, not the reviewer. The strongest green is the one a machine enforces.
Tests, architecture fitness checks, and required checks that make merging below standard impossible, not merely discouraged.
A second model that reviews the first one's work against your standards, with verification loops that catch the confident-but-wrong output.
No single gate is a proof. A capable AI can game any one of them. The book is honest about that: it teaches a layered stack of imperfect gates (defense in depth) sized to the blast radius, so the risk drops to a level your business can accept.
The running example is not invented. Gatekeeper is a real, public, MIT-licensed permissions app, built greenfield in the open in C#/.NET. It starts with no gates at all, and the book adds each one on camera. Every chapter ends as a git tag you can check out.
Read the opening chapters, then decide. The book is written in progress, so buying early means you get every update as it ships.
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