Reference architecture for a scalable guardrails engine

Engineering guardrails require centralized collection of evidence from source repositories, CI pipelines, tool outputs, and external systems because shared standards such as test coverage are difficult to enforce consistently across varied workflows. The proposed architecture separates evidence collection, normalized revision-scoped posture data, policy evaluation, and feedback delivery, allowing the same policy logic to support AI-assisted development, pull-request checks, deployment gates, dashboards, and investigations. It emphasizes preserving provenance, measurement semantics, component and revision identity, and explicit handling of reruns, missing reports, stale data, collector errors, and differing evidence available at each stage. Effective rollout involves draft evaluations, advisory feedback, canary blocking, time-bound exceptions, versioned policies and collection contracts, operational safeguards, and transparent reporting of unknown as well as passing and failing states. Earthly Lunar is presented as an implementation of this model, offering repository and CI instrumentation, structured evidence collection, policy evaluation, organization-wide visibility, customizable collectors and policies, and more than 300 prebuilt guardrails, while noting that building an equivalent internal system entails ongoing maintenance of parsers, data integrity, and cross-team operations.

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