AI and QA

The role of QA leadership has changed significantly over the past decade. Not long ago, a QA Manager was primarily responsible for managing testers, coordinating test execution, tracking defects, and reporting quality metrics. While these responsibilities still exist, modern software development demands something more. Today's organizations need Quality

Enterprise SAP transformations are among the most challenging initiatives an organization can undertake. Unlike many software projects, SAP implementations and upgrades affect critical business processes that people rely on every day. A defect in production is rarely just a technical issue. It can impact finance, procurement, logistics, HR, or customer

Over the last two years, AI-assisted development has moved from experimentation to everyday reality. Tools like GitHub Copilot, ChatGPT, Claude, and various IDE integrations are helping developers write code faster than ever before. At first glance, this sounds like a dream scenario. More code delivered in less time. Faster feature

Ok, we discussed in the previous article about why can AI (Artificial Intelligence) not completely replace Human QA. Now the next question is: can AI and QA work together? The answer is... YES! AI and QA can work together in various ways to improve software development and testing processes. Here