AI is writing code faster than most quality engineering teams can test it. Requirements change overnight, delivery cycles compress by the week, and the manual processes that once kept pace are now the bottleneck. The question isn't whether your testing strategy needs to evolve — it's whether it already has.
In this session, we'll cut through the hype and get practical about what AI-accelerated development actually means for QA teams on the ground. We'll examine the real failure modes that emerge when coverage decisions stay reactive, when tools stay siloed, and when test creation can...