Top Visual Regression Testing Tools

  If you’ve worked in software delivery for any length of time, you’ve seen how SaaS has changed the way you function. Cloud-first apps brought speed, flexibility, and when paired with DevOps practices, they enabled more predictable release cycles. For testers and QAs, that rhythm quickly became second nature. However, AI-native systems don’t play by those rules. Models can adapt, evolve, and change behavior without a single code push, shattering the assumption that nothing moves unless someone ships it. Research shows that 76% of developers  already use or are planning to use AI tools  in their development process. But 27% of testers said they don’t know what they’ll be doing in five years (up from 17% in 2024), suggesting a lack of confidence in long-term stability within QA. In this blog, we’ll explore the core differences between SaaS and AI-native systems, the reasons traditional delivery pipelines are breaking down, and what an AI-native approach to softwa...

  These days, every release cycle feels heavier than the last. You’re delivering across more devices, platforms, and environments than ever. Mobile apps, web apps, IoT devices, and compliance checks on top—each adds another layer of testing that your team has to get right. At the same time, cloud setups aren’t always cost-effective. Enterprises say nearly a quarter of their spend goes to waste, and eight in ten are now running hybrid models. More complexity, higher costs, and shifting infrastructure all point to the same reality: the way you manage testing has to evolve. Many teams eventually reach a stage where upgrading their processes means moving beyond scattered setups and exploring a  User Experience Lab  designed for real-world product behavior. So, instead of relying on external device farms or patchwork setups, is it time to build your own lab? In this blog post, we’ll explore why opting for the BYOL model is best, what steps to follow to set up your lab, an...

  When customers shop today, they rarely stick to one channel. They might start browsing products on the website, continue on a mobile app, and finally make the purchase at the checkout counter. This journey feels natural for the customer. But behind the scenes, it involves a chain of dependencies that has to work without breaking. As a tester, you know how many moving parts live inside these journeys. Inventory systems, payment gateways, loyalty engines, and POS hardware. And all these systems need to stay in sync. Even a minor defect in one can result in a cart that vanishes between devices or promotions that fail to apply at a counter. But the challenge with omnichannel QA is that you’re not just testing mobile, web, or POS systems individually. You check how these work in unison to facilitate a seamless customer journey. In this blog, we’ll look at some practical approaches you can use to  test retail journeys  that span web, mobile, and POS and help you strengthen yo...