qa-audit

To run a QA audit before production, you initiate a playbook-based workflow that validates backend APIs, UI, navigation, and datalake integrity. The audit computes a Quality Coverage Score and outputs a GO or NO-GO verdict for release readiness.

A Quality Coverage Score (QCS) is a metric computed during a full L4 audit to quantify your software testing completeness. It provides a GO or NO-GO verdict, removing uncertainty by systematically validating QA readiness before an investor-grade deployment.

Backend API and datalake validation function as targeted sub-axes within a QA audit playbook. The audit delegates execution to a subagent that enforces prechecks, verifies data integrity, and reports prioritized bugs with metrics based on your specific scope.

Yes, you can run a targeted security testing check instead of a full audit. The system supports running specific sub-axes like security or navigation independently, enforcing relevant prechecks and reporting prioritized bugs without needing full L4 coverage.

No, the QA audit process does not modify production code. It operates with safety-first orchestration by delegating to a subagent with strict guardrails, ensuring no production code changes, no paid SaaS usage without approval, and no conclusions without metrics.

You need a full L4 coverage audit when verifying readiness for a production payante L4 release. It coordinates comprehensive QA across Copilot, UI, browser behavior, and backend systems, calculating a Quality Coverage Score to deliver a final GO or NO-GO decision.