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The bulk of QA accessibility testing is manual checks. And they don’t pair well with modern, agile development. Especially now, when everyone is rushing to comply with the EAA. That’s why today, we’ll break down the combo of Playwright and Axe-core accessibility testing library. This automation duo lets you catch up to 50% of WCAG issues quickly, shrink feedback loops, and turn data into strategy insights.  In this article, we’ll learn how to: Set up Playwright accessibility testing with Axe-core. Prepare fundamental scans and customize your tests. Get the most out of the reporting features and more. This is an objective review from a QA team with a decade of experience. Let’s begin. Why Use Playwright & Axe-Core for Accessibility Testing? Accessibility testing with Playwright is like having a very meticulous, automated user. It opens the page in a real browser, clicks buttons, fills forms, opens menus… Basically, it goes through the site just like a person would....

Let’s turn down the noise around the European Accessibility Act and its 2025-2030 deadline. Because all you truly need is a strategy. And all the benefits of adherence to the EAA will unfold. In this article, we’ll share our approach to a website accessibility audit: A straightforward 5-step framework. Building your toolchain. A clear website accessibility audit checklist. Using in-house vs external resources. Time and budgets are needed for the audit. Our accessibility testing services’ specialists are here to guide you through it all. What Is an Accessibility Website Audit? An accessibility audit of a website is a check that evaluates whether people with different abilities can use it without trouble. It’s basically someone going through your pages, testing how they work with assistive tools, checking the code, and looking for anything that might block or confuse users. The result is a clear list of what works, what doesn’t, and what you should fix to make your ...

Change is always a good thing. Even though complying with the European Accessibility Act is a lot of work, the reward is well worth it. You’ll broaden your potential customer pool by 1.3 billion people. You’ll upgrade your brand reputation. You’ll improve your product’s UX for all users. And you’ll advance your revenue and save money on possible non-adherence fines, which can go up to €500,000 per violation.  So, think of EAA compliance as not something that you have to do, but something that you should do. Because that something will give your project an impressive number of advantages. And the first step in obtaining those advantages is holding a WCAG accessibility audit.  What Are EAA, EN 301 549, & WCAG 2.1 AA Requirements? EAA is the law. EN 301 549 is the technical specification you must follow to comply with that law. And WCAG 2.1 accessibility standards are global guidelines designed to help companies secure accessibility. There’s a lot of info on this topic ri...

Android app performance testing should prevent and fix problems. Yet, it often becomes a problem itself. Performance testing is hard to do right due to the demand for precise expertise, extensive resources, and a long-term strategy. With Android apps, these challenges multiply thanks to the sheer number of devices and their specs. That’s why, no matter the company size, hotfixes, regressions that slow development, and scaling difficulties are common. Today, we review a QA-driven strategy that turns Android performance testing from a resource hog into a scalable, low-overhead process.  How Issues in Performance Testing for Android Manifest First, let’s get to know common issues in Android performance testing. We’ll discuss what creates them and their impact on your product. So, if a lot of things on the list sound familiar, it’s a clear sign that your performance testing services need more support.  Memory Leaks Memory leaks happen when the app keeps holding onto resources it...

The fastest way to lose users is slow performance. The very first interaction a person has with your app is waiting for it to load. And what happens during this introduction is akin to the Big Bang -- your project’s going to be either a universe filled with possibilities or a hot mess. Naturally, you don’t want your customers to be greeted with lags, freezes, or crashes. And yet, they still happen. Quite often. Mobile app performance testing’s biggest trouble is its resource-intensiveness. Fast-growing companies struggle to keep QA coverage as features scale. And smaller organizations tend to “shrink” performance tests, covering the essentials only and dealing with the aftermath (hotfixes, support overload, etc.), which drains resources.  Today, we offer you a solution. This is a clear, universal mobile performance testing checklist that ensures scalable quality. What Separates Mobile Application Performance Testing As you know, performance testing services are difficult ...

Overlooking performance testing leads to either a slowdown or an outage. Yet, lots of teams do it. Deadlines force them to prioritize functionality. Lack of expertise pushes them to cover the essentials that barely prepare the app for the real world. And the effort going into supplying environments is often a little too much. Still, what crews skip here comes back as overwhelming in-prod hotfixes, product delays, customer churn, and more.  This is a game of choosing the lesser evil. And you’re never going to win it. Because what you’re really choosing between are two risks with an incredible potential to escalate. So, what you need to do is to change the game’s rules. Today, we review the web performance testing checklist that allows you some leeway and prevents most production issues.  Understanding Web Application Performance Testing  A few things to know first. Number one, performance testing services are classified as non-functional. And that often makes us perceive them...

We explore the shift from traditional, "brittle" automation to Agentic AI testing — a system capable of reasoning, learning, and self-healing. You will learn the technical differences between fixed scripts and autonomous agents, see how they integrate into CI/CD pipelines, and discover how to transition your current QA strategy to a model that prioritizes business goals over manual maintenance. Traditional automation isn't good enough. Its business value will never be disregarded. But lately, more and more companies feel the pain of its limitations. They look for ways to bypass static tests, high maintenance, and mandatory human intervention. Agentic AI testing is that way. Not only does it minimize automation's risks, such as missed bugs, climbing costs, and slower releases, but it also offers superior adaptability and autonomy. AI testing agents don't just blindly follow instructions and fall apart when encountering the edge of the box. They can think and decide on their own, lear...

Development is approaching the speed of light. So, it's no wonder quality tends to lag behind. Companies now prioritize fast deliveries. And QA is being pushed to the side, out of the strategy core. With that, leadership loses visibility into quality processes. So, decisions regarding releases and their future success are based on incomplete data. You might be doing well with your deadlines. But delivery turns risky and unpredictable. Cue in metrics. They act as solid indicators of how your product is doing. They translate technical performance into business insights. And they prevent disconnect between dev teams and leadership by offering an accessible reference. Today, we discuss what performance testing metrics CEOs and product leaders should track to have better control, predictability, and confidence in release decisions. Transitioning to Measurable Quality with Software Performance Testing Metrics Performance metrics in software testing are values that help understand system be...

For your product to decline, a lot of things need to go wrong... is a misconception! Usually, it all begins with a very mundane matter. If you're careless with API testing or struggle with it for a while, everything can fall apart. Your team gets overloaded, development slows down, regression testing becomes a bottleneck, hotfixes and user-reported bugs pile up... If this carries on, your business doesn't. Today, we introduce another small change that has a big impact --- API testing with AI. The Impact of AI in API Testing AI-based API testing won't be the miracle you've always wanted. But it will be a point of origin for modifications you definitely need. Let's break down how these changes happen. Limitations of Current API Testing Practices First, we need a benchmark. We'll see how AI shifts API testing services by reviewing traditional approaches. Manual checks offer flexibility. They make it easier to work with new or unstable APIs and are generally simpler to kick off. They als...