gitpod VS Code-Server

First, remote dev environments became table stakes. GitHub Codespaces, Gitpod, and self-hosted dev containers became how serious teams worked. Every engineer I know who ships to production now SSHs into a box they didn't provision, edits files with whatever editor is installed, and commits from a terminal. An IDE-bound agent requires you to also forward your IDE to the remote box, which most people don't bother doing. A terminal agent is already there.

Gitpod started as an open-source project. Long before “AI productivity” became a thing, the core problem we were trying to solve was simple:

Gitpod (https://www.gitpod.io) is a great option here. It aims to remove the ops burden, provide a great developer experience and give you tools to manage your spend (eg automatic timeouts, suspend/resume, standardized creation of environments).

Full disclosure: I’m one of Gitpod’s co-founders.

Gitpod

As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces.

Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024).

If you didn't want to setup anything and just wanted to start immediately. You can click on the button below to launch the project in Gitpod.

Gitpod: It provides a Chrome extension that opens a VS Code-based IDE right in your browser. It is best for running the project in your browser without setting up and running locally.

GitPod — Instant, ready-to-code dev environments for GitHub projects. The free tier includes 50 hours/month.

Benefit from an integrated terminal, collaboration features, diffs, and more. Gitpod

I'm using https://coder.com for all my development containers. I've got mine hooked up to a k8s cluster, but anything that you can provision with Terraform can be used (e.g. docker containers).

Ollama is fantastic for ollama pull model && ollama run model. It's genuinely the best way to get started with local models. But when you're running them as infrastructure — serving through an OpenAI-compatible API to Coder Agents, IDE extensions, and automation — the abstraction layer starts to chafe.

code-server is an open-source project that runs VS Code in a browser, allowing developers to work through a web IDE on a remote server. As HagiCode Desktop integrates code-server as its built-in runtime, we need to build, verify, and distribute customized versions of code-server across different operating systems (Linux, macOS, Windows).

Run agents, lots of them, using this open source project - link [tool] - ( Added: 2026-04-11 07:42:11 )

code-server, instead of VSCode. I can build my own podman image on top of it with whatever dev tools I need for whatever languages I'm working with, and if I have to install something weird or something breaks I can just restart the container. Especially on my work machine that isn't Linux, I have this running in a VM and can just use in my browser and don't have to jump through hoops to get the dev environment I want. On my personal instance I also use it for automating building stuff from source. Before I had this, I just had build tools on pretty much every single machine I was building for and it was a hot mess.

https://github.com/coder/code-server

code-server by Coder — VS Code in the browser, packaged as a Docker image by LinuxServer.io

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