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Automated visual testing is a powerful way to ensure that user interface elements remain consistent and functional after code changes. It works by capturing visual snapshots of the application before and after updates, then comparing them pixel by pixel to detect any unexpected differences. This allows teams to quickly identify broken elements such as misaligned buttons, missing images, or layout shifts that could impact the user experience.
By integrating visual testing into the development workflow, organizations can maintain visual consistency, reduce the risk of regressions, and deliver a polished, high-quality interface with every release.
KaneAI - Testing Assistant
World’s first AI-Native E2E testing agent.