1 pointby aneyadeng7 hours ago1 comment
  • aneyadeng7 hours ago
    Hi HN! I built this because I kept finding phantom npm packages in Copilot/Cursor output that passed ESLint just fine.

    What it does:

    - L1: AST-based structural analysis (hallucinated imports, logic gaps, security anti-patterns) — runs in <10s

    - L2: Embedding recall for stale APIs and deprecated patterns

    - L3: LLM deep scan for context coherence

    Key difference from traditional linters: it's built specifically for AI code failure modes — hallucinated packages, context window breaks, over-engineering patterns. ESLint/SonarQube don't even look for these.

    100% local (Ollama), self-hostable, free forever. GitHub Actions + GitLab CI integration included.

    Would love feedback on what other AI code patterns you've seen that we should detect!