Remote Development

Your Personal Codespace: Self-Host VS Code on Any Server

GitHub Codespaces and other cloud IDEs have revolutionized development, offering a complete VS Code environment that runs on a remote server and is accessible from any browser. It’s a game-changer for productivity and flexibility.

But what if you could have that same powerful, seamless experience on your own terms?

This guide will show you how to build your very own private Codespace, replicating the convenience of the GitHub experience on any server you control—be it a machine in your home lab, a dedicated server, or a budget-friendly cloud VM. We’ll explore two distinct paths to get you up and running with a persistent, browser-based VS Code instance on Ubuntu 24.04, complete with AI assistants like Gemini and GitHub Copilot to boost your workflow.

A Step-by-Step Guide on Using Cloud Images with QEMU 9 on Ubuntu 24.04

Introduction

Cloud images are pre-configured, optimized templates of operating systems designed specifically for cloud and virtualized environments. Cloud images are essentially vanilla operating system installations, such as Ubuntu, with the addition of the cloud-init package. This package enables run-time configuration of the OS through user data, such as text files on an ISO filesystem or cloud provider metadata. Using cloud images significantly reduces the time and effort required to set up a new virtual machine. Unlike ISO images, which require a full installation process, cloud images boot up immediately with the OS pre-installed

Remote Development Using VS Code and SSH with AWS EC2

How to Perform Remote Code Development Using VS Code on a Remote AWS EC2 Instance via SSH

Remote development has become a crucial tool for developers, enabling the convenience of coding and deploying directly to remote environments. In this blog, I’ll walk you through the process of setting up Visual Studio Code (VS Code) to develop remotely on an AWS EC2 instance using SSH. By the end of this guide, you’ll be able to connect to your EC2 instance from VS Code and develop code as if you were working locally.