Systems | Development | Analytics | API | Testing

Recently I had the joy of talking to Daniel Knott, a well-known YouTuber and QA leader in the Healthcare testing space. He shares a lot of his knowledge and experience on his channel as well as his blog called Adventures in QA. In this interview, we talked about how Daniel found himself in the QA world, how he applies automation testing in his day-to-day work, and the implications of AI for Healthcare testing. Here are some takeaways from the discussion for you.

Agentic AI: autonomous, goal-seeking systems powered by large language models (LLMs) is rapidly transitioning from novelty to necessity. While developers are building impressive prototypes, many large enterprises remain stuck in pilot purgatory: mesmerized by potential, but unable to translate demos into durable systems that generate value at scale. Two leading visions frame the conversation: Each view highlights an essential dimension of the challenge but neither is complete on its own.

Hey, so you have been wondering why your favourite app sometimes feels like it sometimes stuck in slow motion, right? Well, keep your coffee aside because we are about to learn something that affects literally every digital experience you have, i.e. latency testing. In this blog, we are going to explore about latency testing and how it makes a bigger impact and why you should care about it. Latency is just one piece of the broader performance testing puzzle.

Businesses are constantly driven by the need to meet the growing demands of customers while also navigating fierce competition and rapid market changes. Whether you are releasing new applications or posting regular updates, launching your software to the market sooner can make all the difference. But how do businesses stay abreast of the emerging need without sacrificing stability or quality? Presenting DevOps services - a blend of automation, process, and culture to accelerate software delivery.

If you're working in software testing, you already know that measuring results is the daily concern. But the truth is that many teams end up focusing only on numbers when bugs get detected or when tests pass. But what if this is not the most strategic approach? The most successful teams are the ones that can connect QA metrics to business goals, showing that their software is not only stable, but also delivering real value to their users and its enterprise. In this article, you'll explore: Bottom line.

State governments across the U.S. are stepping up to deliver smarter services and take on bigger roles as federal priorities shift. A recent White House executive order puts state and local leaders at the forefront of driving preparedness, infrastructure upgrades, and resilience. From cyberattacks to natural disasters, local governments are leading the charge on risk-informed planning and making every dollar work harder. The result?

In a significant leap forward for the software testing industry, Tricentis has introduced Agentic Test Automation, an advanced, AI-powered tool set to transform how QA teams create and execute automated test cases. This industry-leading agentic AI solution, directly embedded into Tricentis Tosca, allows teams to generate comprehensive test cases autonomously using natural language prompts, unlocking a new level of efficiency and productivity in software testing.

In today’s fast-paced world of software development, the pressure to deliver high-quality releases quickly is stronger than ever. Teams are pushing code changes to production multiple times a day, and expectations around stability, security, and performance haven’t gone down—in fact, they’ve gone up. Manual testing simply can’t keep up with the speed and complexity of modern deployment cycles.

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

You know the feeling, you push a new feature, and your tests should catch any issues. But instead, they fail inconsistently, slow down your pipeline, or worse… pass when they shouldn’t. End-to-end testing is always a risk. That's precisely the reason why more teams are turning to end-to-end testing with Playwright. Unlike clunky legacy frameworks, the Playwright testing framework was built for speed, reliability, and cross-browser accuracy all out of the box.