Engineering Blog

As a continuation of the AI-powered quality engineering initiative, we selected browser automation as our next critical use case. That’s because UI testing traditionally requires significantly more effort. Complex page interactions, dynamic content, timing challenges, and brittle selectors make manual test creation slow and maintenance expensive. 

AI agents have transformed how we approach software quality and testing. We came up with a list of use cases where we leveraged this technology to improve the software quality and speed. And we chose a low-hanging, business-critical use case of automating APIs. The objective is to create as many API automated tests as possible…