[{"_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","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzgxNjI","title","Agentic Engineering","state","published","contactAuthorMethod","email","aboutText","

AI can write code faster than any human can review it. That one fact breaks more of software engineering than it first appears and no new tool fixes it, because the problem was never the tool.

This is a book of durable principles, not a tooling tutorial. It won't show you how to configure this month's framework or wire up a particular vendor's stack; those change before the ink dries. It's about the engineering judgment underneath: how reliability is actually produced when an agent can generate a hundred plausible solutions and correctness still has to be proved.

It's written for senior engineers, tech leads, and architects who already ship to production. People who learned long ago that the hard part of engineering was never the typing.

What you'll take away

- The Plausible-Correct Gap: why capable models produce code that looks finished and isn't, and why that gap is structural, not a model limitation you can wait out.

- Context engineering: designing what an agent can see, remember, discover, and reconcile, without drowning its attention.

- The evaluation progression: spending a finite evaluation budget across cheap checks, harnesses, simulations, and LLM-as-judge, and turning failures into the next evaluation.

- The factory model: coordinating humans and agents along a trust spectrum, with guardrails as architecture rather than perimeter.

- The inverted week: how engineering time moves from construction to specification, validation, and review, and what that does to a team.

This book is for you if you want the ideas that survive the next tool cycle, and the language to reason about agents as architectural components.

It is not for you if you want step-by-step setup guides, copy-paste evaluator code, or a tour of current tools. This book deliberately doesn't do that, it's built to still be true in years.

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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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