Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time
The rise of large language models for code has reshaped software development. Autonomous coding agents, able to create branches, open pull requests, and perform code reviews, now actively contribute to real-world projects. Their growing role offers a unique and timely opportunity to investigate AI-driven contributions and their effects on code quality, team dynamics, and software maintainability. In this work, we construct a novel dataset of approximately $110,000$ open-source pull requests, including associated commits, comments, reviews, issues, and file changes, collectively representing millions of lines of source code. We compare five popular coding agents, including OpenAI Codex, Cl...
| Authors | Razvan Mihai Popescu, David Gros, Andrei Botocan et al. |
|---|---|
| Primary category | cs.SE |
| Published | 1 April 2026 |
| Last updated at source | 1 April 2026 |
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