Hi HN!

  I built Vaultace after spending months coding with Claude,
  only to realize: How do I know this AI-generated code is 
  actually secure?

  Traditional security scanners like SonarQube treat AI code
  like human code, missing patterns unique to AI tools:
  - Template SQL injection in example code
  - Hardcoded JWT secrets in boilerplate auth
  - Incomplete input validation in rapid prototypes
  - Authentication bypasses in AI-generated examples

  What makes Vaultace different:
  • Detects vulnerability patterns specific to AI coding tools
  (Claude, Cursor, Copilot)
  • 60-second scans (built for rapid AI development cycles)
  • AI-powered fix suggestions that understand your context
  • Developer-friendly UX (no enterprise security bloat)

  The validation: I built the entire platform using Claude,
  then scanned it with Vaultace and found 3 vulnerability
  patterns in my own AI-generated code. Exactly the kind of
  issues traditional scanners miss - and exactly why we need
  tools built for AI development.

  Try it: Free scan at https://vaultace.co - just drop your
  GitHub repo URL, get results in under 60 seconds.

  Would love feedback from the HN community, especially if
  you've run into security concerns with AI-generated code!

Samuel