Systems | Development | Analytics | API | Testing

The world of quality assurance (QA) has changed, and there’s no turning back. Digital transformation is driving the need to produce high-quality software faster, while also keeping costs under control. The old idea of choosing between speed, cost-efficiency, or quality? That’s out the window. Today, you need all three to succeed, and they’ve got to work together.

AI is no longer just a buzzword – it’s the driving force behind the next wave of innovation in the software industry. Companies that embrace AI today are automating tasks, boosting efficiency, and unlocking new levels of productivity. However, as revolutionary as AI is, adopting it within technical software teams isn’t without its challenges. From skill shortages to navigating ethical dilemmas, businesses face a steep adoption curve.

Developer Experience (DevEx) is a general term that encompasses all of the interactions a developer has with their work environment. The tools that a developer uses, the processes they employ, and even the organizational culture, all play a role in establishing a great Developer Experience – or, unfortunately, a bad one.

I'm pretty fast on my laptop keyboard, usually typing around 60 words per minute, sometimes even more, thanks to my mom. She signed me up for a typing course when I was 12 because she thought it would be useful for my career someday, years before I could get my hands on a real computer. It turns out she was right, and it's still a handy skill today. When I graduated from the typing course, my mom gifted me an Olivetti typewriter. It was amazing at the time!

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 fast-paced development environment, efficient monitoring and visualization of test results are essential for ensuring the quality of your application. Keploy, a zero-code testing tool, simplifies test generation and integration, but how do you effectively monitor and analyze the test data Keploy generates? This is where Grafana, a powerful open-source analytics and monitoring platform, comes into play.

Combining Artificial Intelligence and human intelligence in testing becameessential for delivering high-quality products quickly and efficiently. AI excels at automating repetitive tasks, analyzing vast datasets, and improving test coverage. Humans, on the other hand, bring creativity, critical thinking, and the ability to handle complex scenarios that machines can’t easily navigate. Together, they form a powerful synergy that enhances speed and accuracy in testing but also brings challenges..

Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.

The success of a product hinges on more than innovation; it depends on flawless performance.