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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.

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.

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.

Today, mobile apps are downloaded by millions of users. Thousands more people will have made a digital decision by the time you read this, one that might not have been in your best interests (if you have one). In a world where millions of apps are downloaded every day, consider whether your company is leading the way or just keeping up. The rate of change is accelerating as AI, IoT, AR/VR, cybersecurity, automation, and cloud computing transform every aspect of business.

Insurers are facing tighter margins, rising costs, and pressure to modernize, which are all challenges that traditional levers alone can no longer solve. Amidst the struggle, Generative AI offers a breakthrough. With the potential to add $2.6 to $4.4 trillion annually to the global economy, which is higher than the UK’s GDP, it can redefine how insurers create value.

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.

The evolution of artificial intelligence (AI) in the enterprise has reached an inflection point. While the early days of generative AI focused on chatbots responding to human prompts, today's enterprise AI agents are fundamentally different—they're event-driven, autonomous systems that continuously process streams of business data, make real-time decisions, and take actions at scale.

Large Language Models (LLMs) like GPT-4, Claude, and LLaMA have reshaped the way businesses think about intelligence, automation, and human-computer interaction. But the performance of an LLM hinges entirely on what powers it: data. And that data must be systematically collected, cleaned, enriched, and delivered—a task owned by the ETL (Extract, Transform, Load) pipeline.

When ChatGPT entered the mainstream, it didn’t just change how people use artificial intelligence — it changed who gets to use it. By abstracting away the complexity and making the interface simple and intuitive, OpenAI opened the floodgates. Now, instead of AI being the exclusive domain of engineers and data scientists, it’s being actively explored by product managers, marketers, revenue operations leaders, and customer experience teams.