English(EN) RepoTrace: Improving Requirement Tracing in Multi-Round Agent Interactions

新的RepoTrace工具改进了AI代码代理的交互

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了RepoTrace，这是一个新的工具，旨在改进AI代码代理在软件工程中处理多轮交互的方式。该系统解决了代理在交互轮次增加时失去对主要修改目标的关注的常见失败模式。RepoTrace构建了需求与代码之间的对应关系，使代理能够更好地遵循存储库架构并在多个步骤中跟踪需求。实验表明，代理性能有了显著提高，包括奖励增加和回归错误减少。 AI

影响增强了AI代理在复杂软件开发任务中的能力，有可能提高迭代编码过程的效率并减少错误。

排序理由该集群包含一篇学术论文，详细介绍了AI代理在软件工程中交互的新方法。[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 →

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Signal score: 9 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇学术论文，详细介绍了AI代理在软件工程中交互的新方法。[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, infra; 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]

arXiv cs.AI TIER_1 English(EN) · Huanyu Liu, Yezheng Cheng, Jinliang You, Tianxiao Huang, Linyu Li, Zheng Fang, Peng Cao, Ge Li · 2026-10-27 04:00

RepoTrace：改进多轮代理交互中的需求追踪

arXiv:2610.35333v1 Announce Type: cross Abstract: Code agents have become increasingly capable of performing software engineering tasks through interaction with software environments. However, agents tend to degrade as the number of interaction rounds increases, making it difficu…

本文如何被排名

报道来源 [1]

RepoTrace：改进多轮代理交互中的需求追踪

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