ReWeaver AI DriftDetector accepts a public GitHub repository and calculates its Production Drift Ratio in seconds. Each scan becomes a real history point, with findings across nine dimensions traced to files and lines. The analysis uses deterministic rules rather than an LLM or tokens.
Features
- Production Drift Ratio
- Nine-dimension deterministic scan
- Drift history
- File-and-line evidence
Use Cases
- Assess production readiness
- Review vibe-coded projects
- Track technical-debt changes
- Create a code-quality baseline
FAQ
ReWeaver AI DriftDetector accepts a public GitHub repository and calculates its Production Drift Ratio in seconds. Each scan becomes a real history point, with findings across nine dimensions traced to files and lines. The analysis uses deterministic rules rather than an LLM or tokens. Core capabilities include: Production Drift Ratio, Nine-dimension deterministic scan, Drift history.
Common scenarios include: Assess production readiness, Review vibe-coded projects, Track technical-debt changes.
