Systems | Development | Analytics | API | Testing

The emergence of AI has created uncertainties in the software and technology world. As it encroaches into the conventional application test-automation space, QA professionals might feel threatened or even cornered. While it is true that AI is changing traditional testing roles, it also opened new opportunities in the data testing space. But what does AI rely on? Obviously, data!

In September 2015, CareFusion issued emergency Class 1 recalls for its Alaris Syringe pumps. The pump was supposedly programmed to administer scheduled medical infusions to patients. As per official reports, due to a software code error (leading to a malfunction), the infusion pump could (or might already) have wrongly administered the scheduled medication, putting patient lives at risk. In response, the company issued recalls, regulators got involved, and the reputation damage was immediate.

Your CEO just announced the company’s AI-first strategy and the product team is shipping AI features faster than ever. Marketing is promising intelligent automation to customers, while the QA team is left wondering how to actually test this stuff. Every QA team is grappling with the same challenge as AI becomes the default solution for everything from customer service to content generation.

As Artificial Intelligence (AI) becomes deeply embedded in decision-making across fraud detection, chatbots, and virtual assistants, trust in AI agents is now critical. Users and stakeholders need clear assurance that these systems will behave fairly, clearly, evidently, and reliably in all situations. However, building that trust does not happen by chance; it requires smarter testing strategies specifically designed for the non-deterministic and robust nature of AI.

Between the relentless pressure to ship new features and updates, and the increasing adoption rates of DevOps, AI’s influence in the future of the testing landscape is palpable, and the focus in the coming years will be applying that to QA teams everywhere.

Software quality today is not the responsibility of just one team-it’s a shared mission across development, QA, product, and operations. As systems grow more complex and software delivery cycles shrink, test automation has moved from being a luxury to an operational necessity. But adopting automation tools isn’t enough.

Playwright is one of the best solutions if you’re looking for a modern, reliable, and efficient test automation framework. Designed for speed, stability, and ease of use, Playwright helps testers and developers write robust test scripts with minimal effort. Read this Playwright tutorial to learn about this framework, including how to set it up for writing and executing tests. Check the complete Playwright Tutorial video from our workshop.

I’ve always been fascinated by how mobile test automation has evolved. From the early days of scripting interactions in Appium, Espresso, XCUITest, or any other tool, automation has come a long way in validating mobile app functionality. But there’s still one tricky area—visual validation. Functional automation does a great job of checking whether elements exist, buttons are clickable, and text fields accept input.

In the automation testing field, capturing screenshots is very important to verify the behaviour of different aspects of an application. Screenshots are visual evidence that helps testers verify application behaviour, identify issues, and improve test documentation. Selenium WebDriver, a popular tool for automating web applications, offers the best support for capturing screenshots that help in effectively monitoring and validating test results.

When automating web applications with Selenium WebDriver, there are different scenarios where drag-and-drop functionality is needed. This occurs in test cases for applications featuring interactive UI elements, such as file uploaders, dashboards, Kanban boards, or drag-and-drop forms. This helps users move elements as expected without any errors or glitches. Read this blog to learn more about the drag-and-drop action process in Selenium WebDriver, along with its uses, challenges, and examples.