Daniel Stenberg, curl's lead developer, shares his experience with Anthropic's Mythos AI model scanning curl's 178K-line C codebase for security vulnerabilities. Despite massive media hype around Mythos being 'dangerously good' at finding security flaws, the scan of curl yielded only one confirmed low-severity vulnerability out of five initially flagged findings — the rest were false positives or non-security bugs. Stenberg notes curl had already been scanned by AISLE, Zeropath, and OpenAI Codex Security, which collectively triggered 200-300 bugfixes. He concludes Mythos is not significantly better than existing AI code analyzers, calling the hype primarily marketing. However, he strongly endorses AI-powered code analysis in general as far superior to traditional static analyzers, urging all projects to adopt such tooling before adversaries exploit unfound flaws.

11m read timeFrom daniel.haxx.se
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My (non-) accessAI scans of curlMay 6, 2026The size of curlFive findings became oneNot particularly “dangerous”Still very goodHow AI analyzers differMore details from the reportAI finds existing kinds of errorsMore to findCredits
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