Savan is currently managing demand generation at Treblle. He is a formal engineer turned marketing guy who loves to solve dev marketing problems.
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.
AI-first API design puts intelligent systems—not humans—at the center of how APIs are built. In this article, we explore what that means, why it matters, and how developers can start designing APIs that speak AI.
Traditional APIs like REST and GraphQL have powered integrations for years, but modern systems demand more flexibility. This article explores how MCP compares to traditional APIs—covering use cases, pros, cons, and how to choose the right fit.
Machine learning APIs make it easy to add AI capabilities like speech recognition, image analysis, and predictive insights to applications—without building models from scratch. In this guide, we’ll explore the best ML APIs, their benefits, and how they simplify AI integration for developers.
Connecting AI models to data sources is tough—custom integrations are time-consuming. Model Context Protocol (MCP) simplifies this by standardizing how models interact with tools. This guide explores how MCP works and why it could be a game-changer for developers.
