RepoAgent: An LLM-Powered Open-Source Framework for Repository-level
  Code Documentation Generation
Qinyu Luo Yining Ye Shihao Liang Zhong Zhang Yujia Qin Yaxi Lu Yesai Wu Xin Cong Yankai Lin Yingli Zhang Xiaoyin Che Zhiyuan Liu Maosong Sun
Generative models have demonstrated considerable potential in software
engineering, particularly in tasks such as code generation and debugging.
However, their utilization in the domain of code documentation generation
remains underexplored. To this end, we introduce RepoAgent, a large language
model powered open-source framework aimed at proactively generating,
maintaining, and updating code documentation. Through both qualitative and
quantitative evaluations, we have validated the effectiveness of our approach,
showing that RepoAgent excels in generating high-quality repository-level
documentation. The code and results are publicly accessible at
https://github.com/OpenBMB/RepoAgent.