Party of One for Code Review!

How do you maintain code quality when AI generates code faster than humans can review it?

Code review as practiced today assumes synchronous collaboration between humans—an assumption that breaks under AI-augmented development. Kent Beck explores what code review actually needs to accomplish when working solo with an AI pair programmer: sanity-checking intent versus implementation, and maintaining structural integrity so both human and machine can keep working effectively.

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Questions this essay answers

  • Can traditional code review work when AI generates code faster than humans can review?
  • What does code review actually need to accomplish in AI-augmented development?
  • How do you maintain codebase health when working solo with an AI pair programmer?
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