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This paper introduces SWE-Review, a framework that closes the loop on AI-generated pull requests by enabling iterative agentic review and revision cycles, improving code quality and issue resolution. Experimental results show that it outperforms single-turn review and enables effective test-time scaling.
An analysis of how AI coding agents have shifted the bottleneck from writing code to reviewing it, with data showing a 861% increase in code churn and a rise in defect rates, making code review the most leveraged skill in software engineering.