What the Data Actually Says About AI Code Review
Article summary
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Most teams treat code review as a formality, a checkbox before merge. That's been true for years, and the research on what actually makes review effective has been sitting there, largely ignored, for about two decades. Then AI-generated code started arriving faster than review capacity could keep up with it, and the gap between "reviewed" and "actually reviewed" got a lot more expensive. This isn't a tool pitch. It's a look at what the research says about how review works, where AI changes the…
1Key Takeaways
- Most teams treat code review as a formality, a checkbox before merge.
- That's been true for years, and the research on what actually makes review effective has been sitting there, largely ignored, for about two decades.
- Then AI-generated code started arriving faster than review capacity could keep up with it, and the gap between "reviewed" and "actually reviewed" got a lot more expensive.
- It's a look at what the research says about how review works, where AI changes the….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that most teams treat code review as a formality, a checkbox before merge.
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