We’re experimenting with smart visual testing, but I’m not sure how it compares to traditional DOM diff approaches. Which is more accurate for catching visual regressions?
We switched from DOM diff to smart visual testing on LambdaTest, and the difference was noticeable. DOM diff often flagged false positives for small layout changes, whereas smart visual testing focuses on meaningful visual changes, so we spend less time triaging minor issues.
One thing I liked is that smart visual testing integrates AI to detect layout shifts, color changes, and content moves across browsers. LambdaTest’s approach reduces noise compared to pixel-based or DOM diff methods, which made our regression testing much faster and more reliable.
For our team, the biggest benefit of smart visual testing was clarity. Instead of getting a list of DOM changes, we get highlighted screenshots showing exactly what users would see differently. This made it way easier for developers to prioritize fixes.