Savan is currently managing demand generation at Treblle. He is a formal engineer turned marketing guy who loves to solve dev marketing problems.
Managing APIs at scale is harder than ever. Manual governance can’t keep up with growing complexity, compliance demands, and security risks. In this article, we explore how AI can transform API governance—making it smarter, faster, and fit for modern teams.
Effective error handling is key to building reliable APIs. In this guide, you’ll learn how to categorize errors, choose the right status codes, return consistent JSON responses, and implement secure, centralized error handling in Express.
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.
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.
The Model Context Protocol (MCP) is changing how AI connects with tools, data, and systems. This article explores how it works, why it matters, the security risks it introduces—and how platforms like Treblle can help you build safer, smarter AI integrations.
Managing API versions and deprecations can be complex, but AI is changing the game. From automating documentation to predicting impact, this article explores how AI-powered tools like Treblle help teams handle versioning with less friction and more confidence.
