APIs are mechanisms that enable two software components to communicate with each other using a set of definitions and protocols.
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.
Elon Musk’s “Doge Team” uncovered shocking flaws in U.S. government systems—like babies getting business loans. At the core? A total lack of communication between agencies. The fix isn’t rocket science—it’s APIs.
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.
APIs are the backbone of modern systems—but without governance, they can become your biggest liability. In this guide, we break down how engineering and product teams can avoid costly breaches by building API governance into every stage of the lifecycle.
Logging isn’t just about printing messages—it’s your lifeline when APIs misbehave. In this guide, you’ll learn how to log effectively in ASP.NET Core using structured logging, built-in tools, and Serilog to debug faster and gain real insights into your API’s behavior.
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.
