Surface AI-generated code regions next to security findings.
LOC-weighted attribution using git-signal, structural deviation, and commit-burst patterns.
Executable docs ship with the install
The full reference for this topic — configuration files, code samples, CLI flags, API endpoints — ships inside every dpndncY installation so it always matches your installed version. This public-preview page lists what the in-product docs cover.
In the in-product docs
- The three signals (explicit markers, structural deviation, commit-burst)
- Confidence intervals per file
- How AI density amplifies SAST findings
- API: query AI density by path
- Privacy: no code leaves your infra