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AI‐enabled Codespace

Noah Encke edited this page Apr 9, 2026 · 5 revisions

AI-enabled Codespace

The AI-enabled devcontainer profile provides a Codespace pre-configured with AI CLI tooling on top of the standard Fluid Framework development environment.

Creating the Codespace

You can use a direct link or follow these steps:

  1. Navigate to the repository on GitHub and initiate the codespace creation workflow
  2. Click the ... button and select New with options..., then pick from "Dev container configuration"
  3. Choose your branch
  4. Expand Dev container configuration and select AI-enabled (defaults to 32 CPUs / 64 GB RAM)
  5. Create the Codespace

Differences from Standard Profile

The AI-enabled profile includes everything in the Standard profile, plus:

Addition Purpose
Agency CLI Run AI agents (Claude, GitHub Copilot) from terminal
Repoverlay Overlay system for context files (agents, skills)
GitHub CLI (gh) Pre-installed for PR workflows and SSH access
SSH daemon Enables remote terminal connection via gh codespace ssh
Agent aliases Shell shortcuts for common AI commands
Higher compute defaults 32 CPUs / 64 GB RAM vs. 16 CPUs / 64 GB

Connecting via SSH

Connect to a running AI-enabled Codespace from your local terminal:

gh codespace ssh

This enables running AI agents from your local terminal while the Codespace provides compute and repository context.

Getting Started

Once your Codespace is running, see GETTING_STARTED.md for setup instructions, available aliases, custom MCP server usage, and more.

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