Most testing advice sounds cleaner than real testing work.
In the clean version, you pick a tool, write some tests, add them to CI, and get a neat green or red answer before every release.
In the real version, the browser suite depends on mocked APIs, a frontend change breaks selectors, React hydration behaves differently in CI, a feature flag flips, an AI-generated test looks convincing but asserts the wrong thing, and a Playwright job passes locally but fails under GitHub Actions parallelism.
That is why I like lab-style QA writing. It is less about declaring one perfect tool and more about asking:
What actually broke, what did we measure, and what would we change next time?
