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English(EN) Skip the Compressor: Coding Agents Fix More Issues When They Pick Whole Files

新的CQ2-CARE方法通过选择整个文件来提高编码代理的问题解决能力

作者 PulseAugur 编辑部 · [1 个来源] ·

一种名为CQ2-CARE的新方法已被开发出来，以提高编码代理在处理超出其上下文窗口的大型代码存储库时的性能。与提示压缩器或检索器不同，CQ2-CARE优先选择需要修改的整个文件，并保留其原始代码。这种方法通过提供要编辑的确切代码，使代理能够更准确地解决更多问题，从而在SWE-rebench等基准测试中使用GPT-5.6和Claude Opus-5等模型进行测试时获得更高的成功率。 AI

影响 增强了AI编码助手处理大型代码库的能力，有可能提高开发人员的生产力。

排序理由 详细介绍编码代理新方法的学术论文。[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CQ2-CARE方法通过选择整个文件来提高编码代理的问题解决能力

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
详细介绍编码代理新方法的学术论文。[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) · Xiaocong Yang, Rishit Chatterjee, Himanshu Udupi, Vikram Ramavarapu, ChengXiang Zhai ·

    跳过压缩器：编码代理在选择整个文件时能修复更多问题

    arXiv:2610.21073v1 Announce Type: cross Abstract: A coding agent works on repositories that can be far larger than its context window can hold. Prompt compressors and retrievers offer solutions to this problem, but patching an issue needs two things at once: the files that must c…

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