What are they doing? A Commit-Level Dataset of Hyperactive AI-augmented Developers on GitHub

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Authors: Thomas Degueule, Bernd Freisleben, Shane McIntosh, Martin Monperrus, Georges Aaron Randrianaina, Romain Robbes
Cited by: 0

Abstract

This dataset captures the commit activity of a curated set of highly active, agentic software developers on GitHub. For each developer, it provides full commit metadata and daily commit counts spanning the months around the agentic coding explosion. The goal of this dataset is to enable studies of AI-augmented software engineering behavior, agent adoption patterns, repository switching, commit quality, and temporal activity rhythms. The dataset currently covers 7 developers.

Fields of Study & Subjects

Software Engineering Research Software Engineering Techniques and Practices Open Source Software Innovations

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN
Document type
Dataset