3 papers indexed
Yisen Xu, Jiayuan Zhou, Ruiqi Pan, Tse-Hsun Chen
Although LLM-driven repair agents can tackle complex, repository-level issues, they treat every issue independently and discard the procedural knowledge accumulated from previous repairs. We introduce STAIR, a framework that converts historical repair trajectories into hierarchic…
Yisen Xu, Chenglin Li, Zehao Wang, Jinqiu Yang, Tse-Hsun Chen
LLM-based coding agents often edit source code or submit patches before examining enough repository evidence to justify the change, a failure pattern we call premature commitment. We present ECLoop, an execution layer that interposes between the agent and the repository to enforc…
Ankur Singh, Jinqiu Yang, Tse-Hsun Chen
AI coding agents powered by LLMs are increasingly integrated into real-world software development, where they generate, edit, and execute code with autonomous access to local files and tools. Coding agents inherit security risks from both the LLM backbone, where adversarial promp…