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, ...

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

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

Web and mobile testing company BrowserStack Inc. today announced the launch of BrowserStack AI, a suite of artificial intelligence agents designed to automate and enhance every stage of the software ...

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

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

Software quality assurance is facing a growing efficiency crisis. Traditional automation frameworks often collapse under constant maintenance and are plagued by test failures that delay critical ...

With the endless AI buzz dominating every technology headline and press release, it’s easy to forget the origins of “computer intelligence”; namely the likes of expert systems, macros and the “A” word ...