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, ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

The ongoing AI boom is transforming the online user experience (UX) at a rapid pace, and the development of automation technology is redefining usability testing. The global AI-enabled testing market ...

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

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

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

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern ...

The 2026 Worksoft release embeds AI across change intelligence adaptive automation and insights to help teams reduce ...

Discover how home-based businesses will use AI in 2026 to automate operations, streamline workflows, reduce costs, and scale faster—without adding more hours or hiring a big team.