Visual QA Agents Can Catch UI Bugs That AI-Generated Code Leaves Behind

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AI coding tools can produce functional code that still breaks the visible user interface, with issues like misplaced buttons, overflowing components, or wrong tenant data slipping past unit tests. Visual QA agents address this by automating real user journeys in a browser, capturing screenshots, and comparing them against established baselines. Unlike traditional tests that check logic or API contracts, these agents detect regressions that are visual, contextual, and workflow-specific. Each agent is given a scoped mission covering specific routes, viewports, and user roles, generating reviewable evidence for CI pipelines. The approach is aimed at small teams and solo builders who need AI development speed without accumulating unchecked UI regression risk.

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