The author argues against traditional line-by-line code review, advocating for a harness-first approach where specifications and testing take priority. They draw on examples from AI-assisted coding and highlight the importance of architecture and feedback loops over direct code inspection. Caveats are noted for critical systems where code review remains essential.

This article discusses the concept of comprehension debt, which arises when teams rely on AI to generate code without fully understanding it. As AI produces large volumes of code quickly, engineers struggle to debug and maintain it later, leading to significant time losses. The piece emphasizes the importance of planning and collaboration with AI to mitigate these issues.