qa

QA validation works by running automated checks against Jira-derived acceptance criteria, visual fidelity baselines, and DS compliance rules across your specified staging or local dev environments.

Visual regression testing captures baseline visuals of your feature and compares them against current staging states to detect unintended changes, enabling quick remediation before release.

Yes, you can verify staging features automatically by using Jira-derived acceptance criteria when available, allowing the QA tool to structurally test if your features meet defined requirements.

QA testing works on both staging URLs and local dev servers, allowing you to target different environments to validate features and check for visual regressions and DS compliance.

The best way to check DS compliance and visual fidelity is to run a structured QA cycle that tests your feature against baseline visuals and design system rules to generate an actionable feedback report.

Start a QA cycle by specifying the target URL or defining the feature scope, which initiates the automated checks against acceptance criteria, visual regressions, and DS compliance.