Systems | Development | Analytics | API | Testing

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The DevEx Advantage: Understanding and Improving Developer Experience

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.

The Essential Skills Required For Automation Testing

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!

The rise of the hybrid tester

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!

Goldman Sachs: Leveraging AI and APIs to Serve Business and Clients

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 using natural language processing (NLP)

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.