If you work in software development or quality assurance, you’ve probably noticed that the conversation around AI has shifted over the past two years. We’ve moved from “this will transform everything” to “ok, but how does it actually work in practice?” 2026 is the year when teams that bet early on AI testing tools start

Every development team tests software. The question is whether they do it strategically, knowing exactly which type of test to apply at each stage. There are dozens of types of tests, and choosing the wrong one at the wrong time has a real cost, lost development time, expensive rework, or in the worst case, production

If you work with test automation, you’ve almost certainly crossed paths with Selenium. Launched in 2004, it was for years the near-unanimous reference in the industry: open source, support for multiple browsers and languages, enormous community. Few tools have left such a deep mark on the daily routine of QA professionals. But the market didn’t

QA interviews tend to be more varied than they seem. In some hiring processes, knowing what a test case is and understanding the bug cycle is enough. In others, especially at tech companies with agile teams, the interviewer wants to know whether you understand automation, whether you can work within a sprint without becoming a

The test suite passed, the build went live, the deploy happened, and then the call comes in. A user found a bug nobody had tested for. The checkout flow breaks when the delivery address is different from the billing address. Login works in isolation, but when combined with an expired session and an API redirect,