Getting Started#

DKubeX Workspace gives you a personal development environment running in the cluster. This guide covers logging in, installing your workspace, and opening your first app.

Logging In#

DKubeX uses your organization’s single sign-on (SSO). Navigate to the DKubeX URL and you are logged in automatically with your existing credentials — no separate account or password needed.

Installing Your Workspace#

Your workspace is an app in the App Store, and you install it yourself. There is no setup wizard.

The App Store, with the Workspace card alongside the other available applications

  1. Click App Store in the sidebar.

  2. Find the Workspace card and click Install.

  3. The status changes to Provisioning while the environment is created.

  4. When the status reaches Running, your workspace is ready.

Provisioning usually takes a minute or two on first install — the workspace image is large and has to be pulled onto the node.

Note: You get one workspace, and it is yours alone. Its CPU, memory and GPU allocation comes from defaults your administrator configures; there is nothing to choose during install and no compute-profile picker.

Opening Your First App#

Once the workspace is Running, the apps inside it appear as individual tiles in Apps — one tile per app, alongside any other applications you have access to.

  1. Go to Apps.

  2. Click the tile for the app you want — for example JupyterLab.

  3. The app opens inside DKubeX. The first time you open it, it takes a few seconds to start and shows a loading screen; after that it opens immediately.

The Apps page, where the workspace's twelve apps appear as tiles alongside the other applications you have access to

Each app keeps running while you switch between others, so you can move between JupyterLab, a terminal and an agent without losing your place.

Tip: App tiles only appear while your workspace is Running. If Apps shows no workspace apps, check your workspace status in the App Store first.

What You Get#

App

What it is

JupyterLab

Notebooks and interactive Python

VS Code

code-server IDE in the browser

Terminal

Interactive bash shell

FileBrowser

Browse and manage your files

Claude Code

Anthropic’s agentic coding CLI

OpenCode

Open-source terminal coding agent

Antigravity

Google’s terminal coding agent (agy)

Codex

OpenAI’s coding agent CLI

Copilot CLI

GitHub Copilot in the terminal

Mistral Vibe

Mistral’s coding agent CLI

OpenClaw

Multi-model agent gateway and web UI

Hermes

Nous Research’s agent

Pi

Minimal, extensible coding agent harness

The nine coding agents can be pointed at your organization’s models by picking a default model in your workspace settings, or left on their own sign-in so you can use a personal subscription — see Working with AI agents.

Next Steps#