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3 posts tagged with "backend"

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API vs REST API: Simple Guide with Clear Differences and Examples

· 11 min read
Jones
Co-Founder and Architect @ Codehooks

An API is an interface that lets software communicate by defining how to make requests and receive responses. A REST API is a specific kind of API that follows REST principles over HTTP—using methods like GET, POST, PUT, and DELETE to work with resources. All REST APIs are APIs, but not all APIs are REST.

Confused? Don't worry. In this post, you'll learn everything about the API and REST API domain—from core concepts and key differences to how REST+JSON became the web's standard. We'll explore why REST APIs dominate today's development landscape, compare different backend service models, and finally show you how to build your own APIs in practice using Codehooks.io.

API Integration: Meaning, Tools, and Step-by-Step Guide with Examples

· 9 min read
Martin
Co-Founder and Maker @ Codehooks

APIs (Application Programming Interfaces) are crucial for connecting different systems, enhancing software capabilities, and creating seamless user experiences. This guide will provide examples to walk you through understanding the meaning of API integration, implementing, and overcoming challenges in API integration, making the process easier and more efficient.

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How to create a Node.js REST API backend using ChatGPT and codehooks.io

· 7 min read
Martin
Co-Founder and Maker @ Codehooks

ChatGPT and other advanced AI language models have become an integral part of the modern development workflow. From GPT-4 to Claude and other competitors, these AI assistants have transformed how we approach coding and content creation. And we understand why! These AI models have proven themselves invaluable for producing all kinds of text and code, helping developers work more efficiently and creatively than ever before.

While modern AI models are now well-versed in a wide range of technologies and frameworks, we've found that providing concrete examples still leads to the best results. This approach helps the AI understand exactly how we want to use codehooks.io's specific features and conventions, ensuring the generated code follows our best practices.