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Public story · 2026-08-24 · high
Cross-vendor AI review still shows up in just 1.6% of agent-authored pull requests, but reviewers grade outside code more harshly than their own.
Why now: The dataset comes from a paper posted August 21 covering pull request activity through the third quarter of 2025.
Agents reviewing other companies' AI-authored code showed up in 1.6% of the 248,641 GitHub pull requests tracked in a new AI-to-AI code review dataset. That share is small, but it grew by more than two orders of magnitude between the first and third quarters of 2025.
The dataset's authors linked AI-attributed pull requests to AI-attributed review events, then separated same-vendor reviews from cross-vendor ones. Reviewer behavior split sharply by who wrote the code. CodeRabbit tagged 35.0% of its comments on Claude Code-authored pull requests as refactor suggestions, against 10.5% on Copilot-authored ones.
Review speed shifted too. Median latency ran 1.2 minutes when the reviewer came from a different vendor than the code's author, compared with 4.7 minutes for same-vendor reviews.
The paper doesn't say whether the refactor-comment gap reflects real quality differences between Claude Code and Copilot output, or a reviewer's training data favoring its own vendor's style. A reviewer that flags refactors in 35% of comments on one vendor's code but only 10.5% on another's is measuring house style, not code quality. Anyone mixing agents from different vendors on the same codebase should treat review scores as vendor-flavored, not neutral.
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