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Automation testing is no longer a "nice-to-have" skill in the modern software development lifecycle (SDLC)—it’s essential. However, for many aspiring automation testers, the path to mastering these skills can seem overwhelming. We tapped into our community of 90,000+ testers to uncover what are the essential skills every test automation tester should have. Here's what they revealed, and we're excited to pass it on to you!

In today’s hyper-competitive market, where users have countless options at their fingertips, one truth stands out above all: quality keeps a user. The quality of your product, particularly its user experience (UX), directly determines whether customers stay with your brand or leave for a competitor. As your business evolves an exceptional UX is crucial – achieving this starts with a thoughtful approach to test automation.

UI testing helps to ensure that the UI of your website or mobile app behaves as expected and that a high-quality user experience is maintained. This guide covers the basics of automated UI testing and how it can help your organization perform full UI testing more efficiently and consistently.

Test automation is awesome. No doubt about that. However, sometimes test scripts just…fail, and it’s quite frustrating. What makes test automation fail in the first place? Knowing these root causes, we can easily develop best practices to make them run smoother and faster.

In the fast-paced, highly regulated world of financial services, delivering exceptional service isn’t just about speed – it’s about managing immense complexity. As financial institutions face increasing pressure to innovate, they also carry the weight of maintaining strict security and compliance standards. Test automation is more than just a tool; it empowers teams to modernize with confidence, knowing they can meet both quality expectations and regulatory demands.

Selenium IDE is a popular open-source tool for recording and running automated browser tests. You can use it to interact with a browser the way a human would, doing things like navigating to URLs, filling in forms, and clicking on links and buttons. You can also use “assertions” to verify things are working as expected, like checking that elements are present, text is present, inputs contain certain values, et cetera.

Within the domain of software quality assurance, functionality and user experience hold a paramount position, and visual testing becomes an indispensable protector of the digital environment. The complexity of modern apps is always growing, thus it's critical to guarantee pixel-perfect precision and smooth visual consistency across all platforms and devices.

So in today’s world of software development, where things happen so fast, test automation is no longer an option but a necessity. Thus, it helps developers shift their attention to creativity and develop new features rather than being bogged down by monotonous microtasks. But here’s the catch: automation isn’t an effortless solution. If not handled properly, it can create more issues than solutions—poor-quality test code, unreliable (flaky) tests, and holes in test coverage.

Companies use a wide range of both artificial intelligence (AI) and automation tools, and each automation tool serves a different purpose, often working together to boost efficiency. In this blog, we’ll explore the differences between AI and automation, how they can complement each other through intelligent automation, and five real-world examples of how they work together. We’ll also highlight the benefits of using AI in business process automation.