AI Code Detector is a developer-first review console for teams that need a clearer way to evaluate code submissions influenced by AI tools.
It is useful for teachers, hiring teams, and engineering reviewers who want more than a single yes/no claim. Paste code or upload a file to get a risk score, confidence notes, line-level evidence, generated-code quality hazards, source-similarity cues, and Markdown or JSON exports.
The workflow fits teams that treat detection as review support, not as an automatic verdict. A score should open a better human follow-up: compare the evidence, ask the author about design choices, check version history, and combine the result with normal code review.
The design is in the same spirit as reviewable AI workspaces such as Clauxel: clear boundaries, inspectable evidence, and a process humans can audit.
Try it here: AI Code Detector
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