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

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts ...

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 ...

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

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

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

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Anthropic's debut of Claude Code Security jolted cybersecurity stocks and intensified competition in application security ...

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