AI apps need both context and scalability—but how do you choose the right architecture? This article compares the Model Context Protocol (MCP) and Serverless APIs, helping you understand where each fits and how they can work together to power smarter, faster AI experiences.
Inconsistent API endpoints slow development, confuse teams, and frustrate users. This guide breaks down the principles and best practices for designing clean, predictable, and scalable API paths that improve developer experience and reduce errors.
We’ve updated the Treblle Go SDK to support Treblle V3, with a full rewrite focused on performance, ease of use, and better integration with Go tools and frameworks. This guide walks you through the changes, setup, and new features.
On April 16th, we brought together over 150 API leaders for a live conversation on how AI is reshaping API architecture. Missed it? Here’s a recap of the biggest insights—plus how to watch the replay and download the new eBook co-authored with Mike Amundsen.
In this blog, we explore how Go’s concurrency model helps us do more with less. Through a fun kitchen party analogy, you’ll learn about goroutines, channels, waitgroups, semaphores, and how to use them together to build efficient, concurrent programs.
Most AI projects fail—and it’s not because of the models. Hidden API issues like poor structure, security gaps, and technical debt silently kill AI initiatives. Here’s why fixing your APIs is the real key to AI success.
Learn how to build a simple REST API that returns JSON responses using Node.js and Express. This step-by-step guide walks you through project setup, creating routes, handling different HTTP methods, and testing your endpoints—perfect for beginners diving into API development.
Choosing the right HTTP methods is key to building reliable RESTful APIs. In this guide, you’ll learn how CRUD maps to HTTP methods, avoid common mistakes, and follow best practices to design APIs that are intuitive, predictable, and easy to maintain.
When a security company suffers a security breach, it’s a wake-up call for everyone. The APIsec incident shows how internal missteps—not hackers—often lead to data exposure. Here’s what happened, why it matters, and how to make sure it doesn’t happen to you.
