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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.
You can use a direct link or follow these steps:
- Navigate to the repository on GitHub and initiate the codespace creation workflow
- Click the
...button and select New with options..., then pick from "Dev container configuration" - Choose your branch
- Expand Dev container configuration and select AI-enabled (defaults to 32 CPUs / 64 GB RAM)
- Create the Codespace
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 |
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.
Once your Codespace is running, see GETTING_STARTED.md for setup instructions, available aliases, custom MCP server usage, and more.
This wiki is focused on contributing to the Fluid Framework codebase.
For information on using Fluid Framework or building applications on it, please refer to fluidframework.com.
- Submitting Bugs and Feature Requests
-
Contributing to the Repo
- Repo Basics
- Common Workflows and Patterns
- Managing dependencies
- Client Code
- Server Code
- PR Guidelines
- CI Pipelines
- Breaking vs Non-Breaking Changes
- Branches, Versions, and Releases
- Compatibility & Versioning
- Testing
- Debugging
- npm package scopes
- Maintaining API support levels
- Developer Tooling Maintenance
- API Deprecation
- Working with the Website (fluidframework.com)
- Coding Guidelines
- Documentation Guidelines
- CLA