As AI technology and no-code automation tools continue to evolve, manual testing seems to be losing its edge. This perception may or may not align with reality, as multiple factors are impacting ...

When teams treat AI as a tool for insight rather than full automation, and keep human judgment at the center, adoption ...

Learn how AI-native testing lets engineering teams release software faster, around the clock, without time-zone delays or manual bottlenecks.

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 ...

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 ...

Quality assurance has always been much more than finding bugs. It’s a matter of providing the confidence that software will work as it should, even under the messiest real-world conditions. For years, ...

That’s the question driving Treegress, a new AI-native QA platform that offers more than “no-code” convenience. Treegress puts software testing on autopilot. No setup, no scripting: just input a URL, ...

Drizz Automation Technologies Pvt. Ltd., a company that uses vision-enabled generative artificial intelligence agents to test mobile applications, today announced it launched with $2.7 million in seed ...