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cs.SE2026
Habituation at the Gate: Rising Approval and Declining Scrutiny in Human Review of AI Agent Code
Haoran Yu, Lifei Liu, Xiaochong Jiang +4
As AI coding agents (e.g., GitHub Copilot, Devin, OpenAI Codex, Cursor) submit pull requests to open-source repositories at scale, a key question arises: do human reviewers gradual…
cs.SE2026
Beyond Simpson's Paradox: A Cascade of Confounders in AI Agent Pull-Request Co-Authorship
Haoran Yu, Xiaochong Jiang, Lifei Liu +3
Pooled across five AI coding agents, pull requests (PRs) with a human Co-Authored-By trailer merge less often than purely-autonomous ones (53.8% vs. 79.8%) -- yet this aggregate fi…
cs.SE2026
When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems
Su Wang, Pin Qian, Yihang Chen +6
LLM agents increasingly rely on community-contributed skills that expand an agent's operational capability set. We study a core safety problem in agentic AI systems: whether indivi…