Systems | Development | Analytics | API | Testing

In today’s fast-paced software industry, delivering high-quality applications quickly is a top priority. Development teams are constantly seeking methods to streamline their processes without sacrificing quality. One approach that has gained considerable attention is Feature Driven Development (FDD). This methodology focuses on developing software by building features in a structured, incremental manner, resulting in more predictable delivery timelines and enhanced collaboration among teams.

At NodeSource, we’re continuously enhancing N|Solid’s AI-powered optimization workflow, helping teams identify, validate, and implement performance improvements faster and more securely. Our latest release N|Solid 6.3.1, introduces GitHub PR and MCP (Model Context Protocol) Integrations, The Model Context Protocol (MCP) is an emerging standard that allows AI systems to communicate securely with external tools and repositories.

We’re excited to announce the general availability of Kong Insomnia 12!

SQL Server remains central to enterprise data, but connecting it securely to cloud apps, services, and AI workloads requires the right integration layer. This guide evaluates eight leading options through a security-first lens—identity, governance, and deployment control—while highlighting where each shines. DreamFactory appears here because it automates secure, least‑privilege APIs for SQL Server across any cloud or VPC, helping teams deliver integrations in hours instead of sprints.

Cypress and Selenium are two of the most popular website testing tools. Each has advantages, so it can be tough to know which is the best fit for you. That’s why we’ve compared and contrasted the two, so you know which is best for specific use cases. As makers of our own web testing tool, we’re very familiar with what makes one work well. In this article, we’ll give you a complete, unbiased breakdown of Cypress vs Selenium.

AWS outages grab headlines because they affect millions, but the root cause often comes down to something invisible: DNS failures and cascading service dependencies. The complexity of modern cloud systems, combined with the advanced technology powering platforms like AWS, makes these outages particularly challenging to diagnose and resolve.

Multiplayer transforms the chaos of support tickets, eliminating manual work, sloppy hand-offs, and grepping through log files. End-user support has always been messy. Manual steps, tool-switching, and scattered communication turn what should be a simple fix into a marathon of frustration. Tickets feel like scavenger hunts: everyone’s searching for details, logs, screenshots, or that missing repro step. Developers are left waiting on context that never arrives.

Traditional API Gateways: Excellent for routing, auth, and microservice traffic; poor at AI workloads. Limitations: Can't track tokens, manage streaming responses, enforce content-level security, or use semantic caching. AI Gateways Purpose-built for LLMs with: Architecture Recommendation: Layered approach: Benefits: Lower costs (20--40%), better performance, centralized governance, future-proof AI infrastructure. Market Context.