SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
Score
75首次将迁移完整性与行为正确性分开评测，并揭示复制原实现的“盲区”，信息增量显著。
实验规模大、协议设计清晰，但任务数量有限，结果统计仍需更多样本验证。
对评估和开发长周期迁移智能体具有直接指导意义，但仅限基准测试场景。
仓库迁移与智能体可靠性是当前热点，该论文契合最新研究趋势。
来自arXiv预印本，尚未经同行评审，但实验设计和数据完整可查。
Base 83 × T2 Source weight ×0.9 = 75
Curation line 70Selected
Why selected
The benchmark is rigorous and the observed capability gaps are highly informative, but the limited 20-task scale constrains statistical generality.
AI commentary
「The most valuable part is how this benchmark exposes the 'pass tests without migrating' shortcut and reveals what agents can actually do. For anyone building agent evaluation, refactoring tools, or maintaining open source, the three-stage protocol and per-category difficulty breakdown are especially instructive.」
Quick overview
SWE Refactor Bench introduces 20 whole-repository technical-debt migration tasks and a three-stage evaluation protocol: Migration Audit verifies the migration happened, Behavioural Tests check correctness on a fixed suite, and Agentic Verification uses six independent coding agents to generate targeted tests for hidden differences. Across 520 runs from 8 frontier models and 26 model-effort configurations, only 28 runs (5.4%) pass all stages, 13 of 20 tasks receive no accepted solution, and the best model (claude-opus-5) scores 47.0/100. The benchmark shows migration completeness and behavioural correctness are distinct abilities: many runs skip the migration to preserve behaviour and fail the audit, while most that attempt migration break behaviour. Among 340 runs passing audit, 58% reach 99% of checks but only 26% reach 100%. Agents score 31.4 on build toolchain rewrites versus 5.6 on language rewrites.
- Three-stage protocol: Migration Audit, Behavioural Tests, and Agentic Verification closes the loophole of copying the original implementation to pass tests.
- Only 5.4% of 520 runs pass all stages; the best model, claude-opus-5, scores 47.0/100.
- Migration completeness and behavioural correctness are distinct abilities, and most agents trade one for the other.
- Difficulty varies by migration type: 31.4 on build toolchain rewrites versus 5.6 on language rewrites.
Full text
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