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English(EN) Multi-Agent Coordinated Rename Refactoring

新的多智能体框架可自动执行协同代码重命名

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的多智能体框架，用于自动化软件开发中的协同重命名。该系统解决了开发人员在手动跨多个相关标识符传播重命名时面临的挑战，这个过程通常繁琐且容易出错。该框架使用范围推断智能体（Scope Inference Agent）将开发人员的初始重构转换为声明范围，然后由计划执行智能体（Planned Execution Agent）通过IDE重构API安全地执行更改。复制智能体（Replication Agent）指导项目范围内的搜索，旨在减轻开发人员的负担，同时保持人工监督。 AI

影响 该框架可以通过自动化复杂的重构任务，显著简化软件开发流程，使开发人员能够专注于更高级别的问题解决。

排序理由 该集群描述了一篇关于软件开发新颖框架的研究论文。[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 →

新的多智能体框架可自动执行协同代码重命名

本文如何被排名

Signal score
34 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群描述了一篇关于软件开发新颖框架的研究论文。[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, other
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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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) · Abhiram Bellur, Mohammed Raihan Ullah, Dima Golubenko, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Danny Dig ·

    多智能体协同重命名重构

    arXiv:2601.00482v2 Announce Type: replace-cross Abstract: The primary value of AI agents in software development lies in their ability to extend the developer's capacity for reasoning and action, not to supplant human involvement. To showcase how to use agents working in tandem w…

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