AIDev: Studying AI Coding Agents on GitHub

Read full text
Authors: Hao Li, Haoxiang Zhang, Ahmed E. Hassan
Cited by: 2
References: 47

Abstract

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.

Fields of Study & Subjects

Software Engineering Research Scientific Computing and Data Management Artificial Intelligence in Games

Publication details

Journal / source
Proceedings of the 23rd International Conference on Mining Software Repositories
Publisher
ACM
Pages
1029–1033
Publication date
13 April 2026