qa testing

AI has been revolutionizing the ways that industries do business. With the release of GPT-4, businesses are evaluating how AI can help solve their own challenges. Mobile app developers are leaning into AI to solve the problems device fragmentation introduces. In this article, we will discuss the unique challenges solved by AI and device fragmentation.

When developing and testing an app on mobile devices, teams often focus heavily on the operating systems and the devices (like Apple or Android) they will be developing for. While these are certainly important aspects, it’s equally crucial to consider which mobile app form factors you want your project to support.

Let’s be frank: Now is the time to fully embrace efficient mobile app testing. The reality is that the market is too competitive to cut corners during app development. People will notice. Users expect great features, seamless integrations, with little interruption.

Once upon a time, what we today would refer to as DevOps events were small-scale gatherings. Fast forward to today, when apps have become central to our lives, and mobile app testing events have evolved accordingly.

As you’ve no doubt heard, artificial intelligence (or AI, as it’s more commonly known) and machine learning (ML) technologies have begun reshaping countless industries, including mobile app testing. By integrating these technologies strategically, the app testing landscape is changing dramatically.

The dawn of no-code mobile regression testing is here. Are you regression testing your changes? If you answered no, the good news is mobile app regression testing has never been easier. In this piece, we’ll discuss mobile app regression testing and its seamless integration into your workflow.