arXiv AI
For Coding Agents, the Repository Matters
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
Related stories
arXiv AI
Jun 29
Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
arXiv:2606. 28235v1 Announce Type: cross Abstract: Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates them the way it has always evaluated components, one agent at a time, on isolated benchmark tasks.
arXiv AI
Jun 24
Detecting AI Coding Agents in Open Source: A Validated Multi-Method Census of 180 Million Repositories
arXiv:2606. 24429v1 Announce Type: cross Abstract: Generative AI coding agents are entering the open-source supply chain, yet their diverse and often invisible traces leave their prevalence poorly understood.
Hugging Face Trending Papers
Jun 23
Detecting AI Coding Agents in Open Source: A Validated Multi-Method Census of 180 Million Repositories
Generative AI coding agents are entering the open-source supply chain, yet their diverse and often invisible traces leave their prevalence poorly understood. We introduce a multi-layered detection framework that integrates configuration-file scanning, commit-message analysis, author-identity matching, and bot-signature lookup across World of Code (180M+ Git repositories), classifying agent traces into four behavioral types.
arXiv AI
Oct 12
Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests
The study evaluates 26,999 pull requests that modify both application code and deployment infrastructure, using two large datasets and six AI agent architectures. It finds that such dual‑scope changes occur in only about 4.5% of agent‑generated PRs but lead to two distinct integration outcomes: either significant delays due to CI/CD and provisioning checks, or a high rate of silent merges with reduced human review. The results highlight that current AI agents lack deployment awareness, causing unverified dependencies to slip into production pipelines.
arXiv AI
5d ago
AgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub
arXiv:2608.29204v2 Announce Type: replace-cross Abstract: Coding agents now complete development tasks in real software projects and submit the results as pull requests. A pull request shows the outc...
arXiv AI
Sep 1
AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agent
arXiv:2608.29204v1 Announce Type: cross Abstract: Generative AI-based software engineering agents are becoming routine contributors to real-world software projects. On GitHub, developers can assign t...