Your application works perfectly in Chrome. It crashes in Safari. The layout breaks in Firefox. The dropdown menu is unusable on mobile browsers.
Cross-browser testing has been a known problem for twenty years, and it's still unsolved for most teams. The reason is simple: testing across multiple browsers multiplies your test surface by the number of browsers you support. If you have 100 tests and three browsers, you need 300 test runs. If each run takes time to configure and execute, the economics don't work for most teams.
So teams test in Chrome, deploy, and hope. The bugs in Safari get reported by users. The layout issues in Firefox get triaged as "low priority" because most users are on Chrome. The mobile browser problems get discovered during demos.
AI testing agents can change this by making cross-browser testing effectively free — it happens automatically, in parallel, as part of every test run.
The AI-Generated Code + Cross-Browser Problem
AI coding tools compound the cross-browser problem in a specific way: they generate code that works in whatever environment the AI was trained on, which is overwhelmingly Chrome-centric.
CSS properties that aren't supported in Safari. JavaScript APIs that behave differently in Firefox. Touch interaction patterns that work on desktop Chrome but fail on mobile Safari. AI coding tools don't test their output across browsers, so browser-specific issues are invisible at generation time.
TestSprite's testing engine tests against the actual browser environment of your deployment. When it discovers browser-specific failures — a layout that breaks at certain viewport sizes, a JavaScript feature that isn't supported in the target browser, a CSS property that renders differently — it reports the specific browser, the specific failure, and a visual snapshot of what went wrong.
Comprehensive cross-browser testing on every PR catches the browser-specific issues that AI coding tools introduce. The fix happens before deploy. The user in Safari never sees the bug.