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arxiv:2602.09185

AIDev: Studying AI Coding Agents on GitHub

Published on Feb 9
· Submitted by
Leo on Feb 17
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Abstract

AIDev is a large-scale dataset of agent-authored pull requests from real-world GitHub repositories that captures AI coding agent usage in practical software development scenarios.

AI-generated summary

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

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hao-li
 Paper submitter

AIDev is a dataset (https://huggingface.co/datasets/hao-li/AIDev) capturing agent-authored pull requests (Agentic-PRs) from real-world GitHub repositories:

  • Scale: 932,791 Agentic-PRs
  • Breadth: 116,211 repositories and 72,189 developers, across five AI agents (Claude Code, Cursor, Devin, GitHub Copilot, OpenAI Codex)
  • Depth: 33,596 curated Agentic-PRs from 2,807 popular repositories (over 100 stars), enriched with comments, reviews, commits, and related issues
hao-li
 Paper submitter

If you are interested, you can also check our first paper (https://arxiv.org/abs/2507.15003) and 70+ papers using the AIDev dataset (https://huggingface.co/datasets/hao-li/AIDev#papers-using-aidev)

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