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

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, ...

Farmer Bir Virk tapped the iPad mounted beside his tractor’s steering wheel and switched the vehicle to automatic mode. The ...

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 ...

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

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

Could umpiring in Major League Baseball soon be very different? The Automated Ball-Strike (ABS) System is being tested in MLB spring training games in Arizona and Florida, and it could be coming to ...

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...