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arXiv · 2406.01304

CodeR: Issue Resolving with Multi-Agent and Task Graphs

Dong Chen·Shaoxin Lin·Muhan Zeng·Daoguang Zan·Jian-Gang Wang·Anton Cheshkov·Jun Sun·Hao Yu·Guoliang Dong·Artem Aliev·Jie Wang·Xiao Cheng·Guangtai Liang·Yuchi Ma·Pan Bian·Tao Xie·Qianxiang Wang
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Abstract

GitHub issue resolving recently has attracted significant attention from academia and industry. SWE-bench is proposed to measure the performance in resolving issues. In this paper, we propose CodeR, which adopts a multi-agent framework and pre-defined task graphs to Repair & Resolve reported bugs and add new features within code Repository. On SWE-bench lite, CodeR is able to solve 28.33% of issues, when submitting only once for each issue. We examine the performance impact of each design of CodeR and offer insights to advance this research direction.

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Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang. 2024-06-03. CodeR: Issue Resolving with Multi-Agent and Task Graphs. https://arxiv.org/abs/2406.01304

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