[Paper] Agentic Very Much! Adoption of Coding Agent in New GitHub Projects

Source: arXiv - 2606.07448v1

Overview

In previous work, we investigated the adoption of coding agents in GitHub projects, finding that it was very significant. This study follows this line of work, but analyses new projects, that were created after the previous study. In this new sample, we find that the adoption of coding agents is more than twice as high. We also find that the adoption is significantly more intensive, as the proportion of AI-assisted commits is sensibly higher, despite strong signs that we do not detect all of it.

Key Contributions

This paper presents research in the following areas:

• cs.SE

Methodology

Please refer to the full paper for detailed methodology.

Practical Implications

This research contributes to the advancement of cs.SE.

Authors

• Romain Robbes
• Théo Matricon
• Thomas Degueule
• Andre Hora
• Stefano Zacchiroli

Paper Information

• arXiv ID: 2606.07448v1
• Categories: cs.SE
• Published: June 5, 2026
• PDF: Download PDF