ReWeaver AI DriftDetector
ReWeaver AI DriftDetector scans a repo to detect drift issues across nine dimensions of production readiness, scoring the severity of drift events, and surfacing where those issues occur line by line, commit by c
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What is ReWeaver AI DriftDetector?
ReWeaver AI DriftDetector is a code scanning tool that analyzes GitHub repositories for production-readiness issues across nine dimensions, identifying where code has drifted from standards or intent. It provides line-by-line problem identification, historical drift tracking through commit analysis, and technical debt estimation with a privacy-first architecture.
ReWeaver AI DriftDetector pricing
Pricing model: Freemium
ReWeaver AI DriftDetector pros
- Comprehensive scanning across nine production-readiness dimensions with precise line-by-line issue identification
- Privacy-first design: code streams directly from GitHub into temporary memory without persisting to disk
- Historical commit-level scoring shows exactly when drift occurred and how it accumulated
- Quantifies technical debt by estimating manual effort required to fix identified issues
ReWeaver AI DriftDetector cons
- Requires GitHub authentication and repository access; limited to GitHub integrations
- The nine production-readiness dimensions are not clearly defined in the provided content
- No visible pricing information; free tier availability not explicitly mentioned
Frequently asked questions about ReWeaver AI DriftDetector
Does DriftDetector store my code?
No. Code streams directly from GitHub into temporary memory and is never written to disk. Only your encrypted GitHub token is stored until you disconnect.
What happens to my scan results and data?
Nothing is kept from private scans: no cached clone, no cached scores, no report, and no metadata is stored.
What does DriftDetector analyze?
It scans for production-readiness issues across nine dimensions, identifying where code has silently accumulated mistakes or drifted from intent and standards.