Bugged_But_Haapy

Visual Testing with AI: Smarter than Pixel Matching Visual Testing with AI: Smarter than Pixel Matching Practical, human-centred guidance on moving from brittle pixel diffs to perception-driven visual testing — with research evidence, real case studies, tool guidance, prompts, and an adoption checklist. Abstract Visual correctness is one of the most under-appreciated dimensions of product quality. Unit tests and integration tests prove that code works; visual tests prove that people can use it. For years teams relied on pixel-by-pixel screenshot diffs to guard the UI. The result was mountains of false positives, developer fatigue, and missed user-impacting issues. Today, perceptual visual testing powered by AI provides a better signal: it understands components, spatial relationships, and usability impact. This article is a practical synthesis ...