Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Imagine waking up to find that while you slept, a complex feature for your app was not only coded but also tested and debugged, all without your direct involvement. This isn’t a scene from a sci-fi ...

That’s the question driving Treegress, a new AI-native QA platform that offers more than “no-code” convenience. Treegress puts software testing on autopilot. No setup, no scripting: just input a URL, ...

Theorem raises $6 million to use AI-powered formal verification to mathematically prove AI-generated code is safe before it's deployed in critical systems.

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 ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...