GitHub上的AI编程助手研究

摘要

AI编程代理正通过执行功能开发、调试和测试等任务，迅速改变软件工程领域。尽管其影响力与日俱增，研究界仍缺乏全面记录这些代理在真实项目中应用情况的数据集。为填补这一空白，我们推出AIDev——一个专注于真实GitHub仓库中代理撰写拉取请求（Agent式PR）的大规模数据集。AIDev汇集了由OpenAI Codex、Devin、GitHub Copilot、Cursor和Claude Code这五大代理生成的932,791个Agent式PR，覆盖116,211个代码仓库，涉及72,189名开发者。此外，AIDev还包含从2,807个星标数超100的仓库中精选的33,596个Agent式PR子集，提供评论、审阅、提交记录及相关议题等深度信息。该数据集为研究新时代软件工程中AI应用、开发者效能以及人机协作奠定了重要基础。 > AI代理、代理式AI、编程代理、代理式编程、代理式软件工程、代理式工程

English

AI coding agents are rapidly transforming software engineering by performing tasks such as feature development, debugging, and testing. Despite their growing impact, the research community lacks a comprehensive dataset capturing how these agents are used in real-world projects. To address this gap, we introduce AIDev, a large-scale dataset focused on agent-authored pull requests (Agentic-PRs) in real-world GitHub repositories. AIDev aggregates 932,791 Agentic-PRs produced by five agents: OpenAI Codex, Devin, GitHub Copilot, Cursor, and Claude Code. These PRs span 116,211 repositories and involve 72,189 developers. In addition, AIDev includes a curated subset of 33,596 Agentic-PRs from 2,807 repositories with over 100 stars, providing further information such as comments, reviews, commits, and related issues. This dataset offers a foundation for future research on AI adoption, developer productivity, and human-AI collaboration in the new era of software engineering. > AI Agent, Agentic AI, Coding Agent, Agentic Coding, Agentic Software Engineering, Agentic Engineering

GitHub上的AI编程助手研究

AIDev: Studying AI Coding Agents on GitHub

摘要

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