
Reviewing AI-generated code is not one read done harder. It is five: functional, regression, security, budget, maintainability. The framework, and how to run all five without slowing merges.

Reviewing AI-generated code is not one read done harder. It is five: functional, regression, security, budget, maintainability. The framework, and how to run all five without slowing merges.
The test suite passed and CI was green, yet production broke. Why AI-assisted code slips past pipelines built for human-paced change, and what verification has to become.
AI speeds up coding, not delivery. What actually gets faster, where a software estimate really goes, and how to set a timeline you can take to your board.
Most AI workflows treat the code as if it were the theory. On a brownfield system it is not. Codebase archaeology is the discipline that produces the written understanding an agent needs before it edits.