Most testing strategies collapse under the weight of modern software development demands. But speed requirements continue to increase while application complexity grows, which creates an impossible ...

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

What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

We’re at the beginning of a new era in quality engineering, one shaped by agentic AI. While generative AI has captured global attention, the real transformation in software testing is only just ...

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, ...

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 ...

Digital delivery is no longer limited to a few customer-facing applications. Today, organizations across banking, retail, healthcare, and manufacturing are building software-driven ecosystems that ...

What if the most time-consuming, error-prone aspect of web development could be transformed into a seamless, automated process? For years, developers have wrestled with the challenges of ...