Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

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

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

Asad Khan, CEO and Co-Founder of TestMu AI, said, "Real-device testing is essential when preparing for a new OS release. By ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...