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Why AI-Generated Code Is Breaking the Traditional Code Review Model

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A software development essay argues that code review has always been a compromise, focusing on the diff rather than the upstream intent behind a change. Human-authored diffs carry implicit reasoning that skilled reviewers can reconstruct through inference, making the process workable despite its limitations. However, when AI agents generate code, the diff is no longer a reflection of intent but purely an output shaped by prompts, tests, and constraints. This shift means the traditional inference-based review process breaks down, as there is no human reasoning to reconstruct from the artifact. The piece is the first in a two-part series examining how AI-assisted development is fundamentally altering software engineering practices.

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Why AI-Generated Code Is Breaking the Traditional Code Review Model · ShortSingh