Systems | Development | Analytics | API | Testing

In today’s fast-paced development environment, automatically generating tests has become a necessity. Tools leveraging AI, manual interventions, and live environment captures facilitate this process. For instance, k6 focuses on load testing, generating automated tests with minimal maintenance. On the other hand, AI generative tools like GitHub Copilot, Bard, and ChatGPT can produce many tests, though often with redundancy.

MTConnect simplifies how manufacturing machines communicate, ensuring seamless data exchange across systems. It uses HTTP and XML to create a standard data model that works for both old and new equipment, making integration in factories straightforward.

Choosing the right relational database management system (RDBMS) is a critical decision for any organization. Two of the most widely adopted options are Microsoft SQL Server and MySQL. Both platforms have evolved rapidly, introducing new features and enhancements that reflect the changing needs of modern data-driven applications. This updated 2025 comparison explores their latest capabilities, performance, security, and suitability for different use cases.

Kong customers include some of the most forward-thinking, tech-savvy organizations in the world. And while we’re proud to help them innovate through traditional APIs, the reality is that their ambitions don’t stop there. Increasingly, our customers are investing heavily in real-time data and event streaming.

The hype for Anthropic’s Model Context Protocol (MCP) has reached a boiling point. Everyone (including Kong) is releasing something around MCP to ensure they aren't seen as falling behind in the ever-changing AI landscape. However, in this mad dash, there remains confusion around MCP and what this standard actually enables. Some see MCP as a total game-changer, and some see it as little more than a thin and unnecessary wrapper. As usual, the truth lies somewhere in between.

Tracking API performance is essential to ensure smooth operations, enhance user experience, and prevent costly downtime. Here’s how to do it effectively.

E2E Testing is a method to test a software from the consumer’s perspective. It involves simulating real scenarios, including user interfaces, backend testing. The purpose of E2E testing is to validate the application’s overall behavior, including its functionality, reliability, performance, and security. E2E Testing helps in identifying issues when one or more components interact with each other. It is usually done after integration testing, which tests individual component.

In today’s API-driven world, strong API design is key to building reliable and scalable services. Without structure or standardization, the design phase can quickly spiral into chaos. Common problems like misaligned teams, tightly coupled systems, code duplication, and inconsistent standards begin to snowball. This causes delays, poor customer experiences, and in some cases, long-term technical debt that becomes a serious business risk.

In today’s rapidly evolving tech world, coding isn’t just about writing lines of code — it’s about crafting them smarter, faster, and with greater precision. This is where AI coding assistants come in: intelligent tools designed to streamline development workflows, catch errors early, suggest enhancements, and even generate complete blocks of code, empowering developers to work more efficiently than ever before.