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English(EN) Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase

Super Library Agent 解决多应用开发中的 LLM 代码冗余问题

研究人员推出了 Super Library Agent (SLA) 框架,以解决 LLM 驱动的软件开发中的效率低下问题。该代理按顺序生成多个相关应用程序,将共享代码提取到一个中央“Super Library”中,以避免冗余和结构侵蚀。SLA 方法采用候选引导提取和上下文感知迁移,与逐个应用程序的朴素工作流程相比,显著减少了冗余代码并提高了维护效率。在 WebGen-Bench 和 PaperBench 上的评估表明,在不损失准确性的情况下,代码冗余大幅减少,补丁大小得到改善。 AI

影响 该框架可以通过 LLM 简化复杂软件系统的开发和维护,从而降低开发成本并提高代码质量。

排序理由 该集群描述了一篇详细介绍用于软件开发的新型代理框架的研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Super Library Agent 解决多应用开发中的 LLM 代码冗余问题

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Daegyu Sung, Yukyeong Lee, Geon Park, Yumin Choi, Sung Ju Hwang ·

    Super Library Agent:超越单一代码库的多个应用程序的联合生成与维护

    arXiv:2608.29310v1 Announce Type: cross Abstract: Organizations often develop and maintain portfolios of related applications: independently deployable codebases that share substantial domain logic, interface patterns, or operational conventions. As LLM coding agents are increasi…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Super Library Agent:超越单一代码库的多个应用程序的联合生成与维护

    A shared-library agent framework reduces redundancy and structural erosion when sequentially generating related applications by guiding cross-application code extraction and migration.