A template project for working with labs and exercises in a pre-configured dev container environment.

This template provides a multi-language development environment with Python, Node.js, Deno, and Java pre-installed, along with AI coding assistants and common development tools.

• Package Managers: uv (Python), npm/yarn (Node.js), Maven/Gradle (Java)
• AI Assistants: Claude Code CLI, GitHub Copilot CLI
• Shell: Zsh with Starship prompt (Gruvbox theme)
• Utilities: Git, GitHub CLI, ripgrep, Playwright (Chromium)

The following extensions are automatically installed:

• GitHub Copilot
• GitHub Pull Requests
• Claude Code
• Python + Pylance + Debugpy
• Deno

1. Open this project in VS Code
2. When prompted, click "Reopen in Container" (or use Command Palette: Dev Containers: Reopen in Container)
3. Wait for the container to build and setup to complete

Common development ports are pre-configured:

After the container starts, these aliases are available in the terminal:

yolo-cl      # Run Claude Code with --dangerously-skip-permissions
yolo-co      # Run Copilot CLI with all tools/paths allowed + MCP config
copilot-mcps # Run Copilot CLI with workspace MCP config
specify      # Run spec-kit's specify tool via uvx

.
├── .devcontainer/
│   ├── devcontainer.json      # Main dev container configuration
│   ├── setup-devcontainer.sh  # Post-create setup script
│   ├── starship.toml          # Shell prompt configuration
│   └── local-features/        # Custom dev container features
├── .copilot/                   # Copilot CLI configuration
├── .vscode/                    # VS Code workspace settings
└── hello-python-temp/          # Example Python project using uv

Create new project directories in the root folder. For Python projects using uv:

mkdir my-project && cd my-project
uv init
uv run main.py