Developer Builds AI Debugging Mentor RAZE Using Google AI Studio

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A developer has submitted RAZE — Debug Mentor to the DEV Education Track challenge, an AI-powered tool built to guide developers through understanding code failures rather than simply providing fixes. RAZE follows a structured workflow covering problem identification, execution, observation, root-cause analysis, and engineering takeaways. The project was originally built with Python and FastAPI, then imported into Google AI Studio, which automatically recreated it as a TypeScript-based web application. During testing, RAZE successfully diagnosed a Python shallow-copy bug involving nested dictionaries and recommended the correct use of copy.deepcopy(). The developer noted that while AI accelerated the build process significantly, human oversight — including real-world testing and verification — remained essential to producing a reliable tool.

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