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AI code generation has shifted developers from code writers to code architects, requiring senior-level review skills regardless of experience level. While AI can produce functional code quickly, it often creates large, unfocused diffs that overwhelm traditional review processes. Effective code review involves understanding long-term architectural impact, not just immediate functionality. The solution isn't more AI reviewers, but AI tools that generate smaller, more targeted changes that integrate with existing codebases and design systems.

Code review in the AI age

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<p>I think AI code reviews are sometimes perfect, but in terms of architectural point, it is really awkward.</p>
