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 ...

Rapid rollout into cyber-physical systems raises outage risk, Gartner warns The next blackout to plunge a G20 nation into ...

LDB Capital Corp. (TSXV: LDB.P) (“LDB”, the “Company” or the “Resulting Issuer”), a capital pool company pursuant to Policy ...

The drive towards newer Java versions and updated enterprise specifications isn’t just about keeping up with the latest tech; ...

Keeping up with the latest developer android com tools releases platform-tools can feel like a full-time job. New versions of Android Studio and the SDK tools drop regularly, each bringing changes ...

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

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

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

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

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, ...

According to Moderne, this extends OpenRewrite coverage from backend and frontend application code into the data and AI layer ...

Autosana Inc., a startup building an agentic artificial intelligence platform for mobile and web app quality assurance, said ...