From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Traditional software testing can't catch AI's unpredictable failures. Here's why humans are non-negotiable.

In my experience, hypergrowth often masks a bigger crisis: skimping on testing discipline. From what I've seen, early-stage teams rarely struggle with quality. Small engineering groups share context ...

Cloud is for everyone, but not every single thing. This much we know. Generative AI is certainly also for everyone, but ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

Interview: As software grows more distributed and AI accelerates code creation, Umasankar Mukkara explains why resilience testing is becoming central to modern software quality.

Rather than relying on predefined test cases or brittle automation scripts, its always-on QA teammates manage the testing ...