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43-category-expert-swe-agents
ANo problem foundAression/AgenticRLLearning
仓库级软件工程（SWE）智能体需要在长程、有状态的轨迹中导航仓库、编辑代码、调用工具并依据执行反馈反复修正补丁，而这一任务分布本身高度异质：服务与数据层修复、用户界面调整、基础设施与工具链改动、性能与安全补丁各自依赖不同的证据来源、工具交互模式与验证方式。论文用可执行基准把这种异质性具体化：SWE-bench Verified 是 500 条人工验证的 Python 实例，SWE-bench Pro 覆盖更广的仓库语境与维护意图，SWE-bench Multilingual 则扩展到 42 个仓库、九种编程语言的 300 个任务。三者共享可执行判定接口，但对智能体提出的任务需求实质不同。
43-category-expert-swe-agents got grade A on our automated scan on 2026-10-23.
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