This DevContainer provides a ready-to-use development environment for the MeetsMore interview exercise. It eliminates the "works on my machine" problem by giving you a pre-configured Ubuntu container with all the tools you need already installed.

What you get:

• ✅ No manual tool installation required
• ✅ Consistent environment across all candidates
• ✅ All dependencies pre-installed and tested
• ✅ Ready to start coding in minutes

This setup is commonly used in modern DevOps workflows to ensure reproducible development environments.

1. Install Docker Desktop and start it
2. Install VS Code
3. Install Dev Containers extension

1. Open this project in VS Code
2. Press Cmd+Shift+P (Mac) or Ctrl+Shift+P (Windows/Linux)
3. Type "Dev Containers: Reopen in Container" and press Enter
4. Wait 2-3 minutes for the container to build (first time only)

That's it! The container will automatically install all dependencies.

After the container starts, open a new terminal in VS Code and run:

# Start the app
cd app
pnpm install
pnpm dev

Open your browser to http://localhost:3000 - you should see a congratulations page and the installed binaries versions.

Runtime & Tools:

• Node.js + TypeScript
• pnpm
• Docker (shared with host - no Docker-in-Docker overhead)
• kubectl
• Helm
• GitHub CLI
• AWS CLI

Auto-configured:

• Timezone: Asia/Tokyo
• Host network mode (easy localhost access)

Note: Docker uses your host's Docker daemon - images you build are visible on your host machine!

Want to modify the devcontainer? Edit these files:

• .devcontainer/devcontainer.json - Change Node.js version, add VS Code extensions, mount additional folders
• .devcontainer/Dockerfile - Install additional system packages or tools
• .devcontainer/init.sh - Add one-time setup commands (runs after container creation)
• .devcontainer/start.sh - Add startup commands (runs every time container starts)

• 🐳 Docker images built in the container are visible on your host machine
• 🌐 The app on localhost:3000 is accessible from both container and host
• 📦 Use gh CLI for GitHub operations: gh pr create, gh workflow run, etc.
• ☁️ AWS CLI is pre-installed - configure with aws configure or mount your ~/.aws credentials