Many SWE-bench-Passing PRs would not be merged
metr.org
March 11, 2026
18 min read
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Summary
Approximately 50% of test-passing SWE-bench Verified pull requests created by AI agents between mid-2024 and late-2025 would not be merged into the main branch by repository maintainers. The findings suggest that the lack of iterative feedback for AI agents does not indicate a fundamental capability limitation.
Key Takeaways
- Approximately 50% of test-passing SWE-bench Verified pull requests (PRs) generated by AI agents from mid-2024 to mid/late-2025 would not be merged into the main repository by maintainers.
- Maintainer merge decisions average 24 percentage points lower than SWE-bench scores, indicating a discrepancy between benchmark performance and real-world applicability.
- The study highlights that AI agents lack the iterative feedback process that human developers benefit from, which may affect their ability to meet maintainers' standards.
- Mapping benchmark scores to real-world AI capabilities is complex, and benchmarks should be considered as one of many factors in evaluating AI progress and impact.
Community Sentiment
Positives
- Despite concerns about benchmarks, the trend indicates that AI models are becoming increasingly capable, which is promising for future applications.
Concerns
- Many local models, such as MiniMax-M2.5, are scoring well on benchmarks but delivering unusable results, raising questions about the reliability of these evaluations.
- Test-based evaluations like SWE-bench fail to capture critical factors such as intent alignment and team preferences, suggesting they should be viewed as weak indicators rather than definitive measures.
