
What happened
A study found that after AI coding agents are introduced, the average review process time for pull requests balloons 49 percent, with changes requested nearly doubling and comments per pull request up 35%.
Why it matters
The coding speed gains from AI agents appear to be offset by longer human review times, making the overall efficiency benefit unclear for companies investing in the technology.
WHO IT HITSEngineering managers and software teams evaluating AI coding agents may need to account for increased review workload, which could offset the promised coding speed gains.
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The study, based on data from Jellyfish and cross-referenced with LinkedIn, suggests that AI coding agents are not yet reducing the human burden of code review. Instead, the review process becomes a bottleneck: pull requests are more likely to require changes, and reviewers leave more comments. While 95 percent of firms in the study have implemented AI coding agents by now, the researchers note that many are still learning how best to deploy them, and these trade-offs could improve with experience. For now, the findings raise questions about whether the time and expense of adopting AI coding agents is justified for most companies.
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