This abstract introduces the artifact associated with the ICSE ’24 paper titled “Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education.” The study delves into an empirical examination of the LLM’s attempts to circumvent detection by AIGC Detectors. The methodology entails code generation in response to targeted queries using diverse variants. Our primary goal is to attain the Available and Reusable badges. The abstract further offers comprehensive technical details about each artifact component and elucidates its utility for prospective research endeavors. The URL to download the artifact is: https://archive.softwareheritage.org/browse/origin/https://github.com/JackyChok/AI_Code_Detection_Education