Revieko — AI Architecture Drift Radar

Revieko — AI Architecture Drift Radar

Architecture governance for code: drift detection + hotspots

antonfedotov41
@antonfedotov41
Published on Feb 18, 2026
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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.

Product Insights

Revieko is an AI-powered developer tool that monitors architectural drift by establishing code baselines and reviewing pull requests for structural divergence. It operates as a web-based platform to enforce architecture as an executable constraint within existing CI workflows.

  • Operates as a free and open-source solution for software teams.
  • Provides automated drift detection and hotspot identification directly within pull requests.
  • Automates architecture governance by learning from repository baselines instead of relying solely on static rules.
  • Integrates with existing CI and PR review processes to prevent structural debt accumulation.

Ideal for: Developers, Backend Developers, and DevOps Engineers who need to maintain module boundaries and prevent architectural erosion during code reviews.

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