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.

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

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 ...

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

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

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

The 13th annual report reveals a 24% income gap between strategic leaders and ICs, while new data shows hands-on AI ...

This head-to-head test compared Amazon Q Developer and GitHub Copilot Pro using a real-world editorial workflow to evaluate their performance as 'agentic' assistants beyond simple coding. Both tools ...

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