Systems | Development | Analytics | API | Testing

Over the years, Node.js developers have relied on countless npm packages to fill gaps in the platform. From HTTP utilities to file system helpers, the ecosystem has always been one of Node’s greatest strengths. But as Node.js continues to evolve, many features that once required third-party packages are now built into the runtime itself. This shift reduces dependency bloat, improves security, and makes applications easier to maintain.

Learn how to easily create a REST API for Oracle, whether on-premise or in the Cloud, with DreamFactory. This enables instant, secure REST API auto-generation, and seamless integration with applications, BI dashboards, and AI pipelines—all without the need for custom coding.

To monetize digital content, we have used means like ad networks, affiliate links, and paywalls. However, with the fast and widespread adoption of AI, demand for high-quality data has increased. To make sure Large Language Models (LLMs) models deliver value and accurate results, a wide spectrum of content is often scraped and trained on without permission or compensation. This includes blogs, product and technical docs, forums, and research papers.

The rise of AI agents has reshaped software economics; businesses have been increasingly adopting them for efficiency, scale, and delivering values faster. However, pricing them has remained a hard problem. By the established norms, you would tie cost to headcount or access, but that doesn’t fit; traditional methods misalign with how agents deliver value. And newer approaches often create more confusion than clarity.

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

To use synthetic test data or to use test data masking — that is the question. But the answer may not be what you expect. Before we dive into that, what’s happening in today’s business landscape that’s prompting the question around synthetic vs. masking? Delivering high-quality applications at lightning speed is expected in today’s CI/CD world. Fast time-to-market is at odds with security and compliance requirements.

Imagine that you need to know the exact location of the train that you’re about to catch. Trains can be equipped with IoT sensors that can publish location coordinates via Kafka streams in real time. You will be using a mobile application to view a train’s location. Mobile applications and web applications are compatible with WebSocket, a web-friendly protocol, but the location data is received via a Kafka stream. How do we convert the real-time Kafka feed into a real-time WebSocket feed?

Want to secure your OT systems and share data safely? NIST 800-82 and ISA-62443 are two key frameworks that help organizations manage operational technology (OT) security and data governance. Here's what you need to know.