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English(EN) CodeMeepo: A Multi-Agent Workflow for Repository-Level Code Migration and Optimization

新的多智能体系统可自动执行代码迁移和优化

研究人员开发了CodeMeepo,一个多智能体系统,旨在自动化大型代码仓库在不同编程语言之间的迁移和优化。该系统解决了在相互依赖的模块之间保持可观察行为、处理上下文窗口限制以及确保性能改进等挑战。CodeMeepo利用专门的智能体通过文件工件和状态机进行通信,以管理任务、根据外部预言机评估里程碑,并进行优化和一致性测试。在九个主题和三种语言对的评估中,CodeMeepo与现有的多智能体基线相比,展示了更高的通过率,并在生产守护进程上将基准性能平均提高了25%。 AI

影响 该系统可以通过自动化复杂的代码迁移任务来简化软件开发,从而可能降低开发时间和成本。

排序理由 该项目是一篇研究论文,详细介绍了一个新系统及其评估。[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 →

新的多智能体系统可自动执行代码迁移和优化

本文如何被排名

Signal score
9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该项目是一篇研究论文,详细介绍了一个新系统及其评估。[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.
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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) · Farzad Habibi, Changrong Wu, Jinzhou Jiang, Guohan Lu ·

    CodeMeepo:用于存储库级别代码迁移和优化的多代理工作流

    arXiv:2610.34633v1 Announce Type: cross Abstract: Repository-level code migration rewrites an entire project in a new programming language while preserving its observable behavior. It is challenging because behavior spans interdependent modules, dependencies and build infrastruct…