Systems | Development | Analytics | API | Testing

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.

As highlighted in the Quantum-Safeness of WSO2 Products blog, the need for alternative digital signature algorithms has become increasingly urgent. While post-quantum (Q) algorithms are gaining traction, they require time to build industry-wide trust. To address this, hybrid post-quantum digital signatures have emerged, combining classical (C) cryptographic methods with post-quantum (Q) algorithms to ensure resilience against both classical and quantum threats.

Capturing HTTP traffic is like having a digital security camera at your network’s entrance, and it’s essential for keeping your network safe. This ‘camera’ helps you monitor who’s accessing your online space, allowing you to detect and prevent potential security threats, such as cyberattacks and unauthorized access before they can harm your system. This proactive approach is a fundamental practice to ensure the security and integrity of your network.

Balancing latency and throughput is critical for managing distributed rate limiting systems effectively.

Creating API documentation from scratch remains a complex and time-consuming challenge, especially as APIs become more central to digital transformation in 2025. Today’s best API documentation tools leverage automation, AI, and interactive features to simplify the process, ensuring documentation is clear, accessible, and up-to-date for both technical and non-technical users.