[{"_1":2,"_68":-5,"_69":-5},"loaderData",{"_3":4,"_38":39,"_66":-5,"_67":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_22":23,"_24":25,"_26":27,"_30":31,"_36":37},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":14},"id","no-cart","count",0,"free",true,"updatedAt","","paymentGateway","STRIPE","cartItems",[],"loading","locale","en","readerTheme","light","constants",{"_28":29},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_32":33,"_34":35},"companies",[],"universities",[],"needsLocaleCookieSync",false,"routes/_store+/_readers+/email_author.$slug/route",{"_40":41,"_65":-5},"book",{"_9":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzcwMTI","title","The Delivery Gap","state","published","contactAuthorMethod","email","aboutText","

Every engineering leader has seen the same slide: PR volume up 98%. Lead time down. Two green arrows.

Then the bug rate climbs. Review queues back up. Rework doubles. The dashboard says you're faster. The delivery data says otherwise.

The Delivery Gap is about the distance between generating code and shipping reliable software — and what to do about it.

This is not a book about AI tools. It is a book about what happens after you adopt them: the review bottleneck nobody budgeted for, the verification culture that separates top teams from everyone else, the governance decisions that determine whether AI makes you faster or just busier.

What's inside:

- The Verification Triangle — a diagnostic framework for intent clarity, eval quality, and cost per accepted change

- Five quality gate tiers — from static analysis to behavioral monitoring, mapped against 15 public AI incidents

- Eight sequenced decisions — a 90-day implementation plan for teams drowning in AI-generated PRs

- The talent shift — how hiring, team shape, and career durability change when AI compresses the execution layer

Grounded in data from Faros AI (10,000+ developers), DORA 2025, CircleCI, and 30+ academic studies. Includes companion templates, a worked webhook example, and an incident database mapping every public AI failure to the missing gate.

For senior engineers, engineering managers, product managers, and technical leaders whose AI adoption decisions affect production systems, budgets, and incident load.

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