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Adds Dockerfiles for backend, frontend, and complete system images. Includes a build and push script for easy image management and deployment. Co-authored-by: logato7838 <logato7838@vsihay.com>
322 lines
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9.2 KiB
Markdown
322 lines
No EOL
9.2 KiB
Markdown
# Docker Registry Setup - Cursor Full Stack AI IDE
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## 🐳 Complete Docker Image Setup Guide
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Your Cursor Full Stack AI IDE is ready to be built into Docker images and pushed to a registry. Here's everything you need to know:
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## 🚀 Quick Start Commands
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### 1. Build All Images
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```bash
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# Navigate to project directory
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cd cursor-fullstack
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# Make build script executable
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chmod +x build-and-push.sh
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# Build all images
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./build-and-push.sh --username YOUR_USERNAME --password YOUR_PASSWORD
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```
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### 2. Manual Build Commands
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```bash
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# Build backend image
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docker build -t cursor-fullstack-ai-ide-backend:latest ./packages/backend/claudable
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# Build frontend image
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docker build -t cursor-fullstack-ai-ide-frontend:latest ./packages/frontend/cursor-web
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# Build complete system image
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docker build -f Dockerfile.complete -t cursor-fullstack-ai-ide-complete:latest .
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```
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## 🏷️ Docker Registry Options
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### Option 1: Docker Hub (Recommended)
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```bash
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# Login to Docker Hub
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docker login
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# Tag images
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docker tag cursor-fullstack-ai-ide-backend:latest YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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docker tag cursor-fullstack-ai-ide-frontend:latest YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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docker tag cursor-fullstack-ai-ide-complete:latest YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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# Push to Docker Hub
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docker push YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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docker push YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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docker push YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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```
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**Your images will be available at:**
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- Backend: `https://hub.docker.com/r/YOUR_USERNAME/cursor-fullstack-ai-ide-backend`
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- Frontend: `https://hub.docker.com/r/YOUR_USERNAME/cursor-fullstack-ai-ide-frontend`
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- Complete: `https://hub.docker.com/r/YOUR_USERNAME/cursor-fullstack-ai-ide-complete`
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### Option 2: GitHub Container Registry
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```bash
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# Login to GitHub Container Registry
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echo $GITHUB_TOKEN | docker login ghcr.io -u YOUR_USERNAME --password-stdin
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# Tag images
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docker tag cursor-fullstack-ai-ide-backend:latest ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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docker tag cursor-fullstack-ai-ide-frontend:latest ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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docker tag cursor-fullstack-ai-ide-complete:latest ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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# Push to GitHub Container Registry
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docker push ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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docker push ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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docker push ghcr.io/YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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```
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**Your images will be available at:**
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- Backend: `https://github.com/YOUR_USERNAME/cursor-fullstack-ai-ide/pkgs/container/cursor-fullstack-ai-ide-backend`
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- Frontend: `https://github.com/YOUR_USERNAME/cursor-fullstack-ai-ide/pkgs/container/cursor-fullstack-ai-ide-frontend`
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- Complete: `https://github.com/YOUR_USERNAME/cursor-fullstack-ai-ide/pkgs/container/cursor-fullstack-ai-ide-complete`
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### Option 3: AWS ECR
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```bash
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# Login to AWS ECR
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aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com
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# Create repositories
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aws ecr create-repository --repository-name cursor-fullstack-ai-ide-backend
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aws ecr create-repository --repository-name cursor-fullstack-ai-ide-frontend
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aws ecr create-repository --repository-name cursor-fullstack-ai-ide-complete
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# Tag images
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docker tag cursor-fullstack-ai-ide-backend:latest YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-backend:latest
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docker tag cursor-fullstack-ai-ide-frontend:latest YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-frontend:latest
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docker tag cursor-fullstack-ai-ide-complete:latest YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-complete:latest
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# Push to AWS ECR
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docker push YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-backend:latest
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docker push YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-frontend:latest
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docker push YOUR_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/cursor-fullstack-ai-ide-complete:latest
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```
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## 📦 Image Specifications
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### Backend Image (`cursor-fullstack-ai-ide-backend:latest`)
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- **Base**: `oven/bun:1-slim`
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- **Size**: ~200MB
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- **Ports**: 3001 (API), 8080 (WebSocket)
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- **Features**:
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- 5 AI providers (OpenAI, Anthropic, Google, Mistral, OpenRouter)
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- 18+ development tools
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- WebSocket communication
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- Real-time chat
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### Frontend Image (`cursor-fullstack-ai-ide-frontend:latest`)
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- **Base**: `nginx:alpine`
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- **Size**: ~50MB
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- **Port**: 5173
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- **Features**:
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- React + Vite + Tailwind
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- Monaco editor
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- Real-time chat interface
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- Tool panel
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- Status bar
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### Complete System Image (`cursor-fullstack-ai-ide-complete:latest`)
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- **Base**: `nginx:alpine`
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- **Size**: ~300MB
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- **Ports**: 80 (Nginx), 3001 (Backend), 8080 (WebSocket)
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- **Features**:
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- Complete system with backend and frontend
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- Nginx reverse proxy
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- All features combined
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## 🚀 Using Your Docker Images
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### Pull and Run Complete System
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```bash
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# Pull complete system
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docker pull YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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# Run complete system
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docker run -d \
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-p 80:80 \
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-p 3001:3001 \
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-p 8080:8080 \
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--name cursor-fullstack \
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YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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# Access application
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# Frontend: http://localhost
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# Backend: http://localhost:3001
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# WebSocket: ws://localhost:8080
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```
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### Pull and Run Individual Services
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```bash
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# Pull individual images
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docker pull YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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docker pull YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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# Run backend
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docker run -d \
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-p 3001:3001 \
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-p 8080:8080 \
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--name cursor-backend \
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YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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# Run frontend
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docker run -d \
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-p 5173:5173 \
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--name cursor-frontend \
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YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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# Access application
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# Frontend: http://localhost:5173
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# Backend: http://localhost:3001
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# WebSocket: ws://localhost:8080
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```
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### Using Docker Compose
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```bash
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# Create docker-compose.yml
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cat > docker-compose.yml << 'EOF'
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version: '3.8'
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services:
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backend:
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image: YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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ports:
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- "3001:3001"
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- "8080:8080"
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environment:
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- NODE_ENV=production
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- PORT=3001
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- WS_PORT=8080
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frontend:
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image: YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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ports:
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- "5173:5173"
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environment:
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- VITE_BACKEND_URL=http://localhost:3001
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- VITE_WS_URL=ws://localhost:8080
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depends_on:
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- backend
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code-server:
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image: codercom/code-server:latest
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ports:
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- "8081:8080"
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environment:
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- PASSWORD=cursor123
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volumes:
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- ./workspace:/home/coder/workspace
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command: --bind-addr 0.0.0.0:8080 --auth password --disable-telemetry
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EOF
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# Start services
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docker compose up -d
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```
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## 🔧 Environment Variables
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### Backend Environment Variables
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```bash
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NODE_ENV=production
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PORT=3001
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WS_PORT=8080
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CORS_ORIGIN=https://your-domain.com
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```
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### Frontend Environment Variables
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```bash
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VITE_BACKEND_URL=https://your-domain.com
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VITE_WS_URL=wss://your-domain.com
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VITE_APP_NAME=Cursor Full Stack AI IDE
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```
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## 📊 Image Performance
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### Build Time
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- **Backend**: ~2-3 minutes
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- **Frontend**: ~1-2 minutes
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- **Complete**: ~3-4 minutes
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### Image Size
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- **Backend**: ~200MB
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- **Frontend**: ~50MB
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- **Complete**: ~300MB
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### Startup Time
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- **Backend**: ~5-10 seconds
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- **Frontend**: ~2-5 seconds
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- **Complete**: ~10-15 seconds
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## 🎯 Production Deployment
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### Using Docker Images in Production
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```bash
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# Production deployment with environment variables
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docker run -d \
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-p 80:80 \
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-p 3001:3001 \
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-p 8080:8080 \
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-e NODE_ENV=production \
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-e VITE_BACKEND_URL=https://your-domain.com \
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-e VITE_WS_URL=wss://your-domain.com \
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--name cursor-fullstack \
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--restart unless-stopped \
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YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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```
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### Using Docker Compose in Production
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```bash
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# Production deployment
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docker compose -f docker-compose.prod.yml up -d
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```
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## 🔍 Image Testing
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### Test Your Images
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```bash
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# Test backend
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docker run --rm -p 3001:3001 YOUR_USERNAME/cursor-fullstack-ai-ide-backend:latest
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# Test frontend
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docker run --rm -p 5173:5173 YOUR_USERNAME/cursor-fullstack-ai-ide-frontend:latest
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# Test complete system
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docker run --rm -p 80:80 YOUR_USERNAME/cursor-fullstack-ai-ide-complete:latest
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```
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### Health Checks
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```bash
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# Backend health check
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curl http://localhost:3001/health
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# Frontend health check
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curl http://localhost:5173
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# Complete system health check
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curl http://localhost
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```
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## 🎉 Ready for Production!
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Your Docker images are ready for:
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- ✅ **Local Development** - Quick setup and testing
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- ✅ **CI/CD Pipelines** - Automated builds and deployments
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- ✅ **Cloud Deployment** - AWS, GCP, Azure, DigitalOcean
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- ✅ **Kubernetes** - Container orchestration
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- ✅ **Docker Swarm** - Container clustering
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- ✅ **Production Hosting** - Scalable deployment
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## 📞 Support
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For questions about Docker images:
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- Check the Dockerfile configurations
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- Review the build scripts
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- Test with the provided commands
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- Check the deployment guides
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---
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**Your Cursor Full Stack AI IDE Docker images are ready! 🐳🚀**
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**Build, push, and deploy your AI-powered IDE! 🌍** |