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 ...

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 ...

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Traditional automation needs human prompts. uRecruits' agentic AI autonomously orchestrates recruiting workflows. Most of the minor tasks are handled automatically 24/7. The approach reduces admin ...

News from the week beginning February 9th includes @CybageSoftware, @Deel, @Expereo, @Freshworks, @NetSuite, @Nintex, ...

According to Precedence Research, the global software market size accounted for USD 823.92 billion in 2025 and is predicted ...

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 ...

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, ...