Revieko — AI Architecture Drift Radar

Revieko — AI Architecture Drift Radar

Architecture governance for code: drift detection + hotspots

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About Revieko — AI Architecture Drift Radar

Revieko is an architecture drift radar for codebases. It learns an architectural baseline from your repository and reviews every change against that baseline inside pull requests. Instead of static “rules only”, Revieko highlights where the architecture starts to diverge over time: a drift risk score, the most impacted areas (hotspots), and concrete signals you can act on during review.

Use Revieko to prevent architectural erosion, keep module boundaries meaningful, and reduce the hidden cost of “small” PRs accumulating into big structural debt. It’s designed to fit existing workflows (PR review / CI) and to support teams that want architecture to be enforced as an executable constraint, not just documentation.

Typical outcomes: fewer “surprise refactors”, faster onboarding, more predictable change velocity, and less time spent debating architecture during reviews.

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