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At this point, it looks like half of the people are so pro-AI that they ignore all of its faults. And the other half are so against it that they refuse to recognize its worth. You can be sure that both camps are missing out on a big chunk of quality. That's why this article's focus is the objective breakdown of AI-based performance testing. We'll take a look at the state of traditional load tests. Review the perks and limitations of AI in the field (as well as a few imaginary ones). Figure out the most value-adding uses of artificial intelligence. And analyze how to work with AI to get the most out of it. Here we go. Traditional vs AI Performance Testing So, why are so many saying that conventional performance testing services don't cut it anymore? To figure it out, we need to recap how they work. Test Planning The first phase of performance testing is test planning. It's mostly dedicated to defining goals, success criteria, and critical flows. At this point, your team also p...

Digital accessibility has always been surrounded by many struggles. Some companies couldn't get it right. And some overlooked it or didn't care. That's how we ended up with rising accessibility related lawsuits, bumped up fines for non-compliance, and organizations losing billions of dollars. While people battle with basic accessibility issues, most firms fail to resolve them. And so, the state of web accessibility is pretty much the same as it was a decade ago. But things are about to change. They need to. The EU introduced the most advanced accessibility regulations to date. And the US is expecting a huge overhaul to the Americans with Disabilities Act. In light of this, companies are actively looking for solutions that improve their accessibility. So far, the most popular option is automated software testing services. Can Accessibility Testing Be Automated? For accessibility, automated testing offers accuracy and efficiency. It also lets you save time so the team can focus on more ...

AI can never replace people's creativity and intuition. But it's phenomenal with data. That's why it has found its place in an area that is considered human-led. AI for usability testing is gaining traction and already being called a game-changer. We prefer to skip loud titles and get to the bottom of things. So, let's figure out what artificial intelligence can do, where it fails, and whether it deserves your attention. User Experience, Usability, & User Interface—A Brief Refresh First, we need to understand why AI is being pushed into usability testing. Is it another gimmick or an actual revolution in how we do things? Let's start with getting to know usability and its relatives. What Is Usability In Software? Usability focuses on how an actual person uses your product. It includes the technical metrics, such as ease of navigation, and, to a degree, psychological aspects, such as the emotional response. So, let's say you've just downloaded a brand-new game. Your first hours will be...

The single metric of load time can make or break your conversion, user satisfaction, and revenue. Imagine what combined performance criteria can do to your app. You're well aware of the impact performance testing has on your product. And you know that it's tricky to run. That's why we're here to figure out how to simplify and refine it. So, let's learn how to productively couple automated software testing services and performance tests. Can Performance Testing Be Automated? Anything can be automated. The real question is, will that "anything" produce quality results when automated? Luckily, in the case of performance automation testing, the active phase (test runs and report generation) is fully executable by tools. You can even use AI to design investigation scenarios and analyze the outcomes. But automated software performance testing doesn't necessarily presuppose taking care of the entire cycle. What Is Automated Performance Testing? To figure out what automated performance testin...

Give people enough time and they'll turn the most incredible thing evil. In the case of cybersecurity, however, the transformation process only took a few years. In 2022, AI usage exploded in popularity. In 2025, AI-powered attacks became the most prominent threat for companies. But for every knife that was found at a crime scene, there's another with which a loving mother cooked dinner for her family. So, while artificial intelligence is a thorn in cybersecurity's side, it's also a cherished helper. That's why today, we'll discuss its applications in one of the most effective forms of defense—penetration testing. How AI-Powered Penetration Testing Came to Be To fully appreciate the impact of AI on penetration testing, we should take a look at its evolution. By the end of our stroll down memory lane, you'll also notice something very curious about this practice. And this peculiarity will be the most defining insight for security testing services. No Structure, No Guides, Just Handwo...

Mobile accessibility testing seems to be looking at its breakthrough years. And your business' response should be swift. We've seen significant regulatory developments in EAA, ADA, and state-level legislation. Advances in AI and assistive technology mean there'll be more opportunities for improvements. Big organizations setting trends (like Microsoft's Copilot) will push accessibility into the mainstream. And customers' growing awareness as well as tighter competition will drive the change. In a nutshell, you should go user-friendly for all fast. There's simply too much at stake. So, let's discuss how to do mobile accessibility testing so that people fall in love with your app. Mobile App Accessibility Testing Fundamentals The best way to start with accessibility testing for mobile apps is, of course, the official guidelines, such as WCAG. But since our team regularly works with them, we know that it can quickly get confusing or seem like too much. That's why we'd suggest beginnin...

It all depends on how you use it. Sorry to everyone looking for a simple "yes" or "no," but let's be honest: it's all much more complicated than this. Some believe a Gen AI assistant is a magic pill, ready to answer all of your questions and automate most of your processes. Others are certain that AI, in its present form and the way people treat it, is another bubble. All that's left is to wait and see. But it doesn't mean you must ignore the trends and stay away from ChatGPT and Co. Just don't put too much trust in it—not yet. Generative AI is a technological breakthrough that's reshaping how product teams approach tasks—with testing among those. If you can complete something more effectively with less time, why not use that opportunity? The key is in the right approach, which should involve lots of critical thinking and fact-checking. Let's take a closer look at generative AI and software testing. In this article, we'll cover the opportunities and limitations that generative AI...

Software accessibility is not optional. Inclusive digital experiences are required by governments. And they aren't just about compliance. Accessibility also means better business performance. With digitally inclusive websites, platforms, and applications, you can improve overall usability. You can reach more users. And you can build a vaster audience and drive more revenue through empathy and convenience. This guide will walk you through the practical implementation of accessibility testing in your company. It's rather a schematic step-by-step instruction on how to do accessibility testing manually than a strategy ready to use as it is. Nevertheless, it'll become a solid foundation for your team and a good addition to your QA framework. Step 1. Understanding Accessibility Standards Before diving into testing, it's essential to prepare the proper theoretical background. In this case, your team must get familiar with existing directives and legislation in your target areas. There are so...

Banking applications have become the essentials to have on our smartphones. Yet, with all the simplicity and convenience they offer, their complex nature remains unchanged and comes with specific considerations. For users, it is setting strong passwords and being cautious about personal data and permissions. For banks, it is rigorous testing and a comprehensive approach to quality assurance. Banking application testing is the basis of robust functionality and trust-building reputation. In this article, we'll provide a glimpse into the testing challenges and processes. We'll also share some tips that might help you prepare an effective QA strategy. The Critical Importance of Robust Quality Assurance for Banking Apps Banking applications operate at the intersection of technology, finance, and security. Compared to most digital products, this software handles more sensitive financial data. On top of that, banking apps process critical transactions and must maintain absolute reliability u...