Systems | Development | Analytics | API | Testing

We’re excited to bring you Kong Gateway Enterprise 3.11 with compelling new features to make your APIs and event streams even more powerful, including: We’ll also touch on what’s new with Konnect networking and Active Tracing. There’s a lot to unpack, so keep on reading for the full story!

RAG (Retrieval-Augmented Generation) is not a new concept in AI, and unsurprisingly, when talking to companies, everyone seems to have their own interpretation of how to implement it. So, let’s start with a refresher. RAG (short for Retrieval-Augmented Generation) is a technique that injects relevant data from an external knowledge source directly into a prompt before sending it to a Large Language Model (LLM). “But wait, my model is already fine-tuned on my domain-specific data.

In 2025, AI-powered coding platforms have rapidly moved from "nice to have " to an important part of modern developers. The tools that caught everyone’s attention in these are Windsurf and Cursor. It is hard to choose between the Windsurf vs cursor – they are mostly similar. They are both IDEs (integrated development environments) which are mostly developed for the vibe coders, i.e. non non-coders who build apps for fun and work.

Generative AI is transforming how businesses operate, with 74% of enterprises already deploying it in production by 2025. The technology offers measurable benefits like a 1.7x ROI and cost reductions of 26–31% in key areas like supply chain and customer operations. But with rapid adoption comes serious risks - data breaches, AI bias, and compliance issues are top concerns.

In February 2024, Kong became the first API platform to launch a dedicated AI gateway, designed to bring production-grade performance, observability, and policy enforcement to GenAI workloads. At its core, Kong’s AI Gateway provides a universal API to enable platform teams to centrally secure and govern traffic to LLMs, AI agents, and MCP servers. Additionally, as AI adoption in your organization begins to skyrocket, so do AI usage costs.

In today’s fast-moving world of digital innovation, where updates happen super fast and users just want everything to work, regression testing quietly but importantly keeps software dependable. In this guide, we’ll dive into all you need to know about regression testing.

DreamFactory’s API Gateway is purpose-built for handling the demanding workloads of real-time AI applications. Unlike traditional API gateways, it delivers high-speed performance, robust security, and efficient data management tailored for AI-specific needs. Key results from benchmarking demonstrate its ability to handle thousands of requests per second, maintain sub-100ms response times, and ensure 99.9% uptime - even under heavy traffic.

The Model Context Protocol (MCP) has pioneered a new interface layer between AI agents and tools. It has become easier to enable seamless access to external services, APIs, workflows, and data with natural language. MCP servers are now powering the decentralization of AI intelligence and orchestrating the interplay among modern AI systems. In doing so, they also introduce a more open, fluid, and automation-driven attack surface. However, traditional API security models weren’t built for this.

Data is vital to everything we do in the modern world. When it comes to data, we cannot ignore APIs. They act as the internet’s functional backbone, helping in the smooth transfer of data between servers, apps, and devices. APIs must be protected from risks and vulnerabilities because they are used at every step. This is where security testing for APIs comes in.