Cover Image

Fingerprinting AI Coding Agents on GitHub

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ghaleb, Taher A.
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Empirical Study of Complexity, Heterogeneity, and Compliance of GitHub Actions Workflows
by: Abrokwah, Edward, et al.
Published: (2025)

Mapping GitHub Sponsorships: A Longitudinal Observatory for Open-Source Sustainability
by: Hiltz, Rylan, et al.
Published: (2026)

Can LLMs Write CI? A Study on Automatic Generation of GitHub Actions Configurations
by: Ghaleb, Taher A., et al.
Published: (2025)

How Compliant Are GitHub Actions Workflows? A Checklist-Based Study with LLM-Assisted Auditing
by: Abrokwah, Edward, et al.
Published: (2026)

AIDev: Studying AI Coding Agents on GitHub
by: Li, Hao, et al.
Published: (2026)

Agentic Much? Adoption of Coding Agents on GitHub
by: Robbes, Romain, et al.
Published: (2026)

Immersion in the GitHub Universe: Scaling Coding Agents to Mastery
by: Zhao, Jiale, et al.
Published: (2026)

GitHub Proxy Server: A tool for supporting massive data collection on GitHub
by: Borges, Hudson Silva, et al.
Published: (2025)

Guidelines for Developing Bots for GitHub
by: Wessel, Mairieli, et al.
Published: (2022)

Prioritising GitHub Priority Labels
by: Caddy, James, et al.
Published: (2024)

When AI Agents Touch CI/CD Configurations: Frequency and Success
by: Ghaleb, Taher A.
Published: (2026)

"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors
by: Fan, Youmei, et al.
Published: (2024)

GitHub Copilot: the perfect Code compLeeter?
by: Siroš, Ilja, et al.
Published: (2024)

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub
by: Lulla, Jai Lal, et al.
Published: (2025)

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
by: Watanabe, Miku, et al.
Published: (2025)

The Impact of Sanctions on GitHub Developers and Activities
by: Fan, Youmei, et al.
Published: (2024)

Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions
by: Sun, Kexin, et al.
Published: (2025)

GitHub Actions: The Impact on the Pull Request Process
by: Wessel, Mairieli, et al.
Published: (2022)

Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
by: Asare, Owura, et al.
Published: (2022)

Test Code Review in the Era of GitHub Actions: A Replication Study
by: Sun, Hui, et al.
Published: (2026)

Where Is Self-admitted Code Generated by Large Language Models on GitHub?
by: Yu, Xiao, et al.
Published: (2024)

An Empirical Study of the Evolution of GitHub Actions Workflows
by: Mazrae, Pooya Rostami, et al.
Published: (2026)

GitHub Marketplace for Automation and Innovation in Software Production
by: Saroar, SK Golam, et al.
Published: (2024)

Introducing Traceability in GitHub for Medical Software Development
by: Stirbu, Vlad, et al.
Published: (2021)

The Landscape of Toxicity: An Empirical Investigation of Toxicity on GitHub
by: Sarker, Jaydeb, et al.
Published: (2025)

Chaos Engineering in the Wild: Findings from GitHub
by: Owotogbe, Joshua, et al.
Published: (2025)

Classifying Issues in Open-source GitHub Repositories
by: Raaj, Amir Hossain, et al.
Published: (2025)

Understanding and Predicting Derailment in Toxic Conversations on GitHub
by: Imran, Mia Mohammad, et al.
Published: (2025)

Designing for Cognitive Diversity: Improving the GitHub Experience for Newcomers
by: Santos, Italo, et al.
Published: (2023)

Uncovering Code Insights: Leveraging GitHub Artifacts for Deeper Code Understanding
by: Nevo, Ziv, et al.
Published: (2025)

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)

Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot
by: Erhabor, Daniel, et al.
Published: (2023)

Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot
by: Koyanagi, Kei, et al.
Published: (2024)

GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions
by: Saavedra, Nuno, et al.
Published: (2023)

On the GitHub Actions Language: Usage, Evolution, and Workflow Reliability
by: Bardsiri, Aref Talebzadeh, et al.
Published: (2026)

Can GitHub Issues Help in App Review Classifications?
by: Abedini, Yasaman, et al.
Published: (2023)

What Makes a GitHub Issue Ready for Copilot?
by: Sayagh, Mohammed
Published: (2025)

Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
by: Siam, Md Kamrul, et al.
Published: (2024)

Not One to Rule Them All: Mining Meaningful Code Review Orders From GitHub
by: Bouraffa, Abir, et al.
Published: (2025)

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
by: Fu, Yujia, et al.
Published: (2023)