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# AI Reviewer

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  1. Claude Code hands most code reading to machines: merged pull requests doubled while reverts fell more than 40 percent

    Anthropic's Claude Code team moved most code reading to automated review and kept humans for high-risk decisions. From June to September, merged pull requests to the Claude Code codebase more than doubled while the share that had to be reverted fell by more than 40 percent. Claude verifies changes before submission with runnable tests or builds, every pull request gets a multi-agent bug review with voting filters, and risk tiers set how many human approvals a change needs.

  2. arXiv

    Same 60 changes, two architectures: complexity amount holds steady while prompts and an AI reviewer each move placement

    Across the same 60 change requests and one fixed model, two architectures finished within 7% to 20% on complexity amount but differed by 2.7 to 10 times on how far their placement could be moved, and only an AI reviewer moved the additive one.

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