arXiv Artificial Intelligence

SWE-Prometheus: Measuring Engineering Governance Improvements in Real-World Repositories

SWE-Prometheus: Measuring Engineering Governance Improvements in Real-World Repositories

Quick summary

arXiv:2609.29465v1 Announce Type: new Abstract: Large language model based coding agents have made substantial progress on repository-level software engineering tasks. Existing repository benchmarks, however, usually start from a human-identified issue and evaluate whether a patch satisfies a functional signal. We present SWE-Prometheus, a benchmark for the broader task of improving repository engineering governance. Each task provides a fixed snapshot and an open-ended objective, requiring the agent to identify risks, prioritize interventions, and verify the resulting changes. SWE-Prometheus

Key takeaways

  • arXiv:2609.29465v1 Announce Type: new Abstract: Large language model based coding agents have made substantial progress on repository-level software engineering tasks.
  • Existing repository benchmarks, however, usually start from a human-identified issue and evaluate whether a patch satisfies a functional signal.
  • We present SWE-Prometheus, a benchmark for the broader task of improving repository engineering governance.

Why it matters

The value of this work lies as much in how it was tested as in the claim itself. Sample design, baselines, uncertainty and replication help separate a laboratory result from real-world impact.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗