Priority use cases
- Secure developer assistant grounded on internal codebases
- Code review and quality controls
- Release risk scoring and deployment intelligence
- Incident triage and runbook retrieval
Engineering leaders need AI that can operate across planning, coding, review, testing, deployment, and incident response without exposing source code or weakening supply-chain controls.
