Systems | Development | Analytics | API | Testing

Staging environments are often looked at as the testing ground ahead of the “real” production environment. The idea is simple – build a duplicate of your production environment, run your tests, and ship with confidence. But the reality of using staging in the real world as part of a holistic API testing strategy is rarely that clean. No matter how meticulously you mirror production services, staging always falls a little short.

At NodeSource, we’ve always been committed to making the Node.js experience secure, stable, and production-ready for teams around the world. Today, we're announcing a key change to how we serve and support our Node.js binary distributions, and it comes with something new: Extended Support.

The Perforce 2025 State of Automotive Software Development Report revealed that automotive companies are most concerned with quality, safety, and security.

May’s release brings significant strides in browser support, cross-platform test execution, and intelligent AI-powered enhancements. Whether you’re running large-scale cloud tests, fine-tuning user journey maps, or adapting to Chrome’s latest changes, Katalon continues to innovate with features that boost precision, observability, and test coverage. Here is what we delivered in May.

So you’re diving into the world of API documentation tools? Trust me, I have been there before. When I first started working with APIs, I thought documentation was just something you threw together at the last time. And I was completely wrong! The impact of AI on code commenting and software documentation is becoming more evident every day. Good API documentation can literally make or break your projects success.

Imagine a world where every backend, legacy system, cloud database, and app is instantly connected—no manual coding, no ongoing maintenance headaches. As businesses rush to unlock value from data, API gateways are becoming critical infrastructure. The most advanced platforms now go beyond traditional API management—bringing AI, automation, and security into the integration layer.

In modern software development, the pressure to move fast is matched only by the need to get it right. Teams working within the software development lifecycle (SDLC) must constantly balance velocity and quality, ensuring releases are stable, secure, and performant. Traditional software development models often relied on manual verification and human intuition to validate releases; however, as systems have grown in complexity, guesswork is no longer sufficient to meet these rising needs.