Systems | Development | Analytics | API | Testing

Software is now shipped faster than ever and testing evolved beyond rigid scripts and predefined steps. One approach that has always embraced adaptability, critical thinking, and curiosity is exploratory testing: the process of learning, designing, and executing tests simultaneously — often uncovering issues that traditional testing might miss. As Artificial Intelligence (AI) becomes more embedded in the software development lifecycle, many wonder: will AI replace exploratory testing?

Today, users expect software to be not only functional but also fast, reliable, and scalable. And that’s where performance testing comes in. It focuses on evaluating how an application behaves under expected or extreme workloads. Traditionally, performance testing was reserved for the final stages of development. But with the rise of Agile and DevOps, this approach no longer fits.