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!

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.

For over a century, Goldman Sachs has been one of the most recognizable names in multinational investment banking and financial services. When they speak, the market listens. So what does Goldman Sachs have to say about APIs and AI when it comes to serving its clients and fueling business success? Kong had a chance to ask these questions to Rohan Deshpande, Managing Director at the company, at API Summit 2024.

Information extraction (IE) finds its roots in the early development of natural language processing (NLP) and artificial intelligence (AI), when the focus was still on rule-based systems that relied on hand-crafted linguistic instructions to extract specific information from text. Over time, organizations shifted to techniques like deep learning and recurrent neural networks (RNN) to improve the accuracy of information extraction systems.

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!

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

The software testing market size was valued at USD 51.8 billion in 2023 and is projected to grow at a CAGR (Compound Annual Growth Rate) of over 7% between 2024 and 2032.

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..

Phoenix and Elixir are designed at their core to build real-time, fault-tolerant applications. With its elegant syntax and the robustness of the Erlang VM, Elixir is an ideal candidate for tackling the challenges of distributed state management. This two-part series will guide Phoenix/Elixir developers through the intricacies of working with Phoenix in a distributed setup.