When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

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

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

As we turn the page to 2025, it’s impossible not to reflect on the transformative trends of 2024. From the growing influence of AI to the rise of modern languages like Rust and the increasing focus on ...