Writing code got cheap. Checking it did not. This book is about the part between “the agent wrote it” and “it’s in production”: who checks what, who holds which key, and who answers when something breaks. Mikkel Schmidt, our founder, wrote it from a design by our DevOps engineers. You finish with a setup you can build on your own repository and a 90-day plan to roll it out.
What the book covers
It moves from the evidence to the build in four parts.
- The shift. What the studies say about AI and delivery, ten public incidents from one year, and seven ways teams run agents today.
- The model. Seven rules, each tied to a public failure or a study, and the factory itself: fourteen stations on one page, with the points where your people decide.
- Build it. Getting a repository ready for agents, keeping write access away from them, scripted checks before any AI reviewer, and what happens after the merge.
- Run it. Thirteen delivery measures, a 90-day rollout, who answers for code an agent wrote, and what a factory costs to own.
Every chapter ends with decision questions and a task on your own repository. The free reference pack holds every file the book describes, under the MIT licence.
Who the book is for
CTOs and heads of engineering deciding how to use AI agents, the platform leads who build the setup, and lecturers who teach software delivery. You don’t need Azendo to use any of it.
If you’d like a team to do the work with you, companies hire AI developers through us as a dedicated software development team, fully managed. The specialists we assign work remotely with your own engineers from our offices in Chiang Mai and Bangkok.
