Codex Uncovers Correctness Bugs in SymPy
ErnestRyu · x · 2026-07-14
This thread showcases a case of auditing open-source software using Codex + GPT-5.6: a UCLA PhD student found several simple bugs in SymPy that "look correct but are mathematically wrong."
The author emphasizes that these issues are particularly dangerous because SymPy might silently return a well-formatted but mathematically incorrect expression. The project concludes that agentic coding agents are highly effective for such audits: they not only uncover correctness flaws but also package them into reproducible test cases for easier debugging and patching.
Related event: Codex Uncovers Subtle Correctness Bugs in SymPy(3 posts)→
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