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English(EN) SWE-Shift: Evaluating Coding Agents in Evolving Workspaces

新的SWE-Shift基准揭示编码代理在执行中更改方面存在困难

一个名为SWE-Shift的新基准已被开发出来,用于评估编码代理在软件开发环境中处理执行中更改的能力。该基准包含12个更改家族的120个场景,测试代理完成任务、保留现有工作和适应更新的能力。对17个编码代理的初步评估显示,与未更改的环境相比,所有系统在执行中更改的任务上的表现都明显更差,GPT-6 Astra的成功率从67.35%下降到24.79%。 AI

影响 突出了当前编码代理能力的一个关键差距,可能推动开发更强大、更适应性强的人工智能软件开发助手。

排序理由 介绍用于评估AI编码代理新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的SWE-Shift基准揭示编码代理在执行中更改方面存在困难

本文如何被排名

Signal score
12 / 100
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Tool
介绍用于评估AI编码代理新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Victor Shea-Jay Huang, Rongqing Li, Zhangyue Yin, Kelong Mao, Yaqi Zhao, Xinyuan Wang, Yao Yin, Lirui Luo, Renrui Zhang, Hongsheng Li ·

    SWE-Shift:在不断变化的工作空间中评估编码代理

    arXiv:2610.32196v1 Announce Type: new Abstract: Repository-level coding benchmarks largely assume that tasks and environments remain unchanged throughout execution. In software development, code, dependencies, runtime state, and requirements can change while an agent is still wor…