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

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, ...

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

Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...

Update implements Jakarta EE 11 platform and brings support for Jakarta Data repositories and virtual threads.

Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

After watching this talk, you’ll be able to write smarter and more comprehensive tests in Java using Property-based Testing - ...

A nonpartisan government watchdog is calling on the Department of Defense to update its testing policies so U.S. troops can acquire weapons at a quicker scale. The Government Accountability Office ...

Product demos get all the attention, but software development more often involves things like debugging, quality assurance, and testing. It’s the dull but critical work that keeps software running the ...