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ReWeaver AI DriftDetector

drift.reweaver.ai
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Category
Developer Tools
Rank
No. 2657Tools index

Previous survey · No. 2523 ·

Pricing
Free
Type
TOOL
Use case
Software Testing & Quality
Date

About

DriftDetector scans a public or private GitHub repository and scores its production readiness across nine dimensions, flagging where the code has silently drifted from intent or standards down to the specific file, line, and commit. Every check is rule-based rather than LLM-driven, so a repeat scan of the same repo returns the same score, and results can be exported as JSON, PDF, or Markdown.

At a glance

DriftDetector scans a GitHub repository and summarizes possible production-readiness gaps in a score and file-level findings. It is worth a first pass on a public repository when you need leads for a manual review.

Good fit

Maintainers looking for issues to investigate before deciding what to fix.

Consider something else when

Use your existing audit process if you need independently verified findings or cannot grant a third party access to private code.

Start here

Pick a public repository you know well. Compare a few findings with the cited lines and check whether the suggested fixes reflect how the software actually runs.

Cost and requirements

The public scan accepts a GitHub URL without sign-in. Private scanning requires connecting GitHub and choosing repositories.

Limits to know

The vendor says it retains public scan results and does not retain private scans. Private-session handling was not independently verified. Treat the score as a triage signal.

Sources checked 2026-11-05. Source-based assessment.

Tags

code-qualitygithubstatic-analysisproduction-readinessdrift-detection

Media

ReWeaver AI DriftDetector

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.