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AI Coding AssistantsArs Technica AIPublished: Oct 10, 2026, 06:00 JST

AI coding agents cut speed, but review time balloons 49 percent

AI coding agents cut speed, but review time balloons 49 percent

3 Key Points

  1. 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%.

  2. 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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Context & Analysis

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.

FAQ
How much longer does code review take with AI coding agents?
The average review process time between a pull request being submitted and merged balloons 49 percent on average after AI agents are introduced.
Are firms using AI to review code?
By March 2026, 80 percent of measured firms used some form of AI code review, but AI agents were only responsible for 23.3 percent of review comments and 10.8 percent of pull requests.
Ars Technica AIRead Original Article

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