From the 1 of 13 linked papers with an AI index.
13 papers
Not In My Git Yard: Catching Backdoors at Commit and Release Time
Dimitri Kokkonis, Michaël Marcozzi, Stefano Zacchiroli
The paper introduces Lily, a tool that automatically detects hidden backdoors in open‑source code during commit and release stages by combining CI‑compatible fuzzing with code‑chan…
Art in Humanity's Code
Benoit Baudry, Yogya Gamage, Nadia Gonzalez Fernandez +4
Artist-led open-source libraries such as Processing or openFrameworks have had a major impact on artists and designers who use code as a creative medium. In this work, we conduct t…
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
Andrea Gurioli, Davide D'Ascenzo, Federico Pennino +2
Large language models (LLMs) for code completion and generation are increasingly used in software development, yet they may reproduce training examples verbatim and without authors…
Agentic Much? Adoption of Coding Agents on GitHub
Romain Robbes, Théo Matricon, Thomas Degueule +2
In the first half of 2025, coding agents have emerged as a category of development tools that have very quickly transitioned to the practice. Unlike ''traditional'' code completion…
DRAGON: Robust Classification for Very Large Collections of Software Repositories
Stefano Balla, Stefano Zacchiroli, Thomas Degueule +2
The ability to automatically classify source code repositories with ''topics'' that reflect their content and purpose is very useful, especially when navigating or searching throug…
Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity
Romain Robbes, Théo Matricon, Thomas Degueule +2
In 2025, coding agents have seen a very rapid adoption. Coding agents leverage Large Language Models (LLMs) in ways that are markedly different from LLM-based code completion, maki…