How to kill the code review

In the article "How to Kill the Code Review," Ankit Jain argues that traditional code reviews are no longer viable in the context of an AI-accelerated software development lifecycle (SDLC) due to the rapid pace and volume of AI-generated code, which outstrips human capacity to perform thorough reviews. Jain proposes a two-layer system to replace code reviews, focusing on capturing intent and ensuring standards. The first layer involves documenting the decisions and intent behind code changes, allowing reviewers to focus on whether the right problem is being solved with the correct constraints. The second layer involves creating an "AI slop register" that automates standards-checking by identifying recurring issues and turning them into automatic checks. This system transforms the review process by shifting the focus from reading extensive code diffs to understanding the decisions and ensuring compliance with team standards, ultimately aiming to preserve the essential human judgment aspect of reviews while automating repetitive tasks.

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