Summary of Repoagent: An Llm-powered Open-source Framework For Repository-level Code Documentation Generation, by Qinyu Luo et al.
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
by 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
First submitted to arxiv on: 26 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces RepoAgent, a large language model powered framework for generating, maintaining, and updating code documentation. While generative models have shown promise in software engineering tasks like code generation and debugging, their application to code documentation remains unexplored. The authors demonstrate the effectiveness of RepoAgent through both qualitative and quantitative evaluations, showing it excels at generating high-quality repository-level documentation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary RepoAgent is a new tool that helps create and keep track of code explanations. It uses special language models to generate good quality documentation for code repositories. Right now, there’s not much research on using generative models like this in software engineering, especially when it comes to writing comments about code. The people who made RepoAgent tested it and showed that it does a great job of making helpful documentation. |
Keywords
» Artificial intelligence » Large language model
