In an AI Builder + AI Reviewer World, What Should Developers Actually Review?

Short summary

A mental model for code review when AI handles implementation: treat yourself as the manager with final accountability rather than the person who must read every line. Focus human review on ownership boundaries, architecture, verification strategy, and high-risk areas like authentication, billing, security, and licensing. The developer's value shifts from writing everything personally to owning quality and designing the development system.

• •Frame the human as a manager with final accountability, not a line-by-line reader, when AI writes and reviews code
• •Always require human sign-off on high-cost failure zones: auth, billing, data deletion, public APIs, crypto, compliance
• •Developer value shifts from writing code to owning quality, defining acceptance criteria, and designing the development system

Generated with AI, which can make mistakes.