This work introduces BabelCoder, an agentic framework that performs code translation by decomposing the task into specialized agents for translation, testing, and refinement, each responsible for a specific aspect such as generating code, validating correctness, or repairing errors.
Fazle Rabbi, Soumit Kanti Saha, Tri Minh Triet Pham et al.· arXiv.org· 3 citations
Hardcoded secrets in source code pose critical security vulnerabilities which can be easily exploited by malicious adversaries. Existing regex-based detection approaches suffer from fundamental limitations, as secrets often lack identifiable patterns, resulting in poor precision and recall. Recent studies have explored...
Zhengdong Huang, Kevin Li, Jinqiu Yang et al.· 0 citations
A systematic evaluation of malicious issue requests against state-of-the-art coding agents powered by two major model families reveals critical vulnerabilities in the as-deployed modern coding agents, highlighting the urgent need for stronger agent- and model-level safety mechanisms to protect AI coding agents.
Ankur Singh, Jinqiu Yang, T. Chen· arXiv.org· 2 citations
ECLoop is presented, an execution layer that interposes between the agent and the repository to enforce evidence-conditioned execution and shows that each of ECLoop's three operations contributes distinct value and that structured evidence conditions outperform an equivalent natural-language summary.
Yisen Xu, Chenglin Li, Zehao Wang et al.· arXiv.org· 2 citations
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