A software developer lost their job after using AI to write code that caused a big problem at work. The developer posted about the incident on Reddit,.

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

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 ...

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

After months of real-world testing of AI copilots, chat interfaces, and AI-generated apps, Terra Security releases a new module for continuous AI Penetration Testing to match AI development velocity ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.