### ✅ 3.4 Cloud-Native Docker Deployment
**Priority:** MEDIUM | **Time:** 4-5 hours

**Tasks:**
- [ ] Kubernetes deployment configurations
- [ ] Helm charts for WRD applications
- [ ] Cloud provider integration (AWS, GCP, Azure)
- [ ] Container registry management
- [ ] Scaling and load balancing configurations
- [ ] Security scanning and vulnerability management

**Cloud-Native Deployment Prompt:**
```
Create cloud-native deployment capabilities for WRD Docker applications:

1. Kubernetes manifests and Helm charts
2. Cloud provider specific configurations:
   - AWS ECS/EKS integration
   - Google Cloud Run/GKE
   - Azure Container Instances/AKS
3. Container registry management (Docker Hub, ECR, GCR, ACR)
4. Auto-scaling based on metrics
5. Security scanning integration
6. CI/CD pipeline for cloud deployment
7. Infrastructure as Code (Terraform/Pulumi)
8. Monitoring and observability in cloud

Features:
- wrd cloud-init --provider aws/gcp/azure
- wrd cloud-deploy project_name --env production
- wrd cloud-scale project_name --replicas 5
- wrd cloud-monitor project_name
```

**Kubernetes Integration:**
```yaml
# wrd/k8s_templates/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: {{ .Values.projectName }}
  labels:
    app: {{ .Values.projectName }}
    managed-by: wrd
spec:
  replicas: {{ .Values.replicaCount }}
  selector:
    matchLabels:
      app: {{ .Values.projectName }}
  template:
    metadata:
      labels:
        app: {{ .Values.projectName }}
    spec:
      containers:
      - name: {{ .Values.projectName }}
        image: {{ .Values.image.repository }}:{{ .Values.image.tag }}
        ports:
        - containerPort: 8000
        env:
        - name: PROJECT_NAME
          value: {{ .Values.projectName }}
        - name: ENVIRONMENT
          value: {{ .Values.environment }}
        resources:
          limits:
            memory: {{ .Values.resources.limits.memory }}
            cpu: {{ .Values.resources.limits.cpu }}
          requests:
            memory: {{ .Values.resources.requests.memory }}
            cpu: {{ .Values.resources.requests.cpu }}
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 5
          periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
  name: {{ .Values.projectName }}-service
spec:
  selector:
    app: {{ .Values.projectName }}
  ports:
  - protocol: TCP
    port: 80
    targetPort: 8000
  type: LoadBalancer
```

**Cloud Provider Integration:**
```python
# wrd/cloud_providers.py
from abc import ABC, abstractmethod
import boto3
from google.cloud import run_v2
from azure.mgmt.containerinstance import ContainerInstanceManagementClient

class CloudProvider(ABC):
    @abstractmethod
    def deploy_container(self, project_name: str, image_url: str, config: dict):
        pass
    
    @abstractmethod
    def scale_service(self, project_name: str, replicas: int):
        pass
    
    @abstractmethod
    def get_logs(self, project_name: str):
        pass

class AWSProvider(CloudProvider):
    def __init__(self, region='us-east-1'):
        self.ecs_client = boto3.client('ecs', region_name=region)
        self.ecr_client = boto3.client('ecr', region_name=region)
        
    def deploy_container(self, project_name: str, image_url: str, config: dict):
        """Deploy to AWS ECS"""
        task_definition = {
            'family': f'wrd-{project_name}',
            'networkMode': 'awsvpc',
            'requiresCompatibilities': ['FARGATE'],
            'cpu': str(config.get('cpu', 256)),
            'memory': str(config.get('memory', 512)),
            'containerDefinitions': [
                {
                    'name': project_name,
                    'image': image_url,
                    'portMappings': [
                        {
                            'containerPort': 8000,
                            'protocol': 'tcp'
                        }
                    ],
                    'environment': [
                        {'name': 'PROJECT_NAME', 'value': project_name},
                        {'name': 'ENVIRONMENT', 'value': config.get('environment', 'production')}
                    ],
                    'logConfiguration': {
                        'logDriver': 'awslogs',
                        'options': {
                            'awslogs-group': f'/ecs/wrd-{project_name}',
                            'awslogs-region': 'us-east-1',
                            'awslogs-stream-prefix': 'ecs'
                        }
                    }
                }
            ]
        }
        
        response = self.ecs_client.register_task_definition(**task_definition)
        return response['taskDefinition']['taskDefinitionArn']

class GCPProvider(CloudProvider):
    def __init__(self, project_id: str, region: str = 'us-central1'):
        self.project_id = project_id
        self.region = region
        self.client = run_v2.ServicesClient()
        
    def deploy_container(self, project_name: str, image_url: str, config: dict):
        """Deploy to Google Cloud Run"""
        service = {
            'metadata': {
                'name': f'wrd-{project_name}',
                'labels': {
                    'managed-by': 'wrd',
                    'project': project_name
                }
            },
            'spec': {
                'template': {
                    'spec': {
                        'containers': [
                            {
                                'image': image_url,
                                'ports': [{'container_port': 8000}],
                                'env': [
                                    {'name': 'PROJECT_NAME', 'value': project_name},
                                    {'name': 'ENVIRONMENT', 'value': config.get('environment', 'production')}
                                ],
                                'resources': {
                                    'limits': {
                                        'cpu': config.get('cpu', '1'),
                                        'memory': config.get('memory', '512Mi')
                                    }
                                }
                            }
                        ]
                    }
                }
            }
        }
        
        parent = f"projects/{self.project_id}/locations/{self.region}"
        operation = self.client.create_service(parent=parent, service=service)
        return operation.result()

class AzureProvider(CloudProvider):
    def __init__(self, subscription_id: str, resource_group: str):
        self.subscription_id = subscription_id
        self.resource_group = resource_group
        # Initialize Azure client
        
    def deploy_container(self, project_name: str, image_url: str, config: dict):
        """Deploy to Azure Container Instances"""
        # Implementation for Azure deployment
        pass

class CloudManager:
    def __init__(self, provider_type: str, **kwargs):
        self.providers = {
            'aws': AWSProvider,
            'gcp': GCPProvider,
            'azure': AzureProvider
        }
        
        if provider_type not in self.providers:
            raise ValueError(f"Unsupported provider: {provider_type}")
            
        self.provider = self.providers[provider_type](**kwargs)
        
    def deploy_project(self, project_name: str, image_url: str, config: dict):
        """Deploy project to cloud provider"""
        return self.provider.deploy_container(project_name, image_url, config)
```

**Success Criteria:**
- Kubernetes deployments work correctly
- Cloud provider integrations function properly
- Auto-scaling responds to load appropriately
- Container registry pushes/pulls work seamlessly
- Security scanning identifies vulnerabilities
- Cloud monitoring provides useful insights

---

### ✅ 4.4 Security and Compliance
**Priority:** HIGH | **Time:** 3-4 hours

**Tasks:**
- [ ] Container security scanning
- [ ] Secrets management integration
- [ ] RBAC and access control
- [ ] Network security policies
- [ ] Compliance monitoring (SOC2, GDPR, etc.)
- [ ] Vulnerability management workflow

**Security Implementation:**
```bash
# docker/security-scan.sh
#!/bin/bash
# Security scanning for WRD containers

PROJECT_NAME=${1:-wrd}
IMAGE_TAG=${2:-latest}

echo "🔍 Starting security scan for ${PROJECT_NAME}:${IMAGE_TAG}"

# Trivy vulnerability scan
trivy image --severity HIGH,CRITICAL ${PROJECT_NAME}:${IMAGE_TAG}

# Docker bench security
docker run --rm --net host --pid host --userns host --cap-add audit_control \
    -e DOCKER_CONTENT_TRUST=$DOCKER_CONTENT_TRUST \
    -v /etc:/etc:ro \
    -v /usr/bin/containerd:/usr/bin/containerd:ro \
    -v /usr/bin/runc:/usr/bin/runc:ro \
    -v /usr/lib/systemd:/usr/lib/systemd:ro \
    -v /var/lib:/var/lib:ro \
    -v /var/run/docker.sock:/var/run/docker.sock:ro \
    --label docker_bench_security \
    docker/docker-bench-security

# Hadolint Dockerfile linting
hadolint Dockerfile

# Container structure test
container-structure-test test --image ${PROJECT_NAME}:${IMAGE_TAG} --config docker/structure-tests.yaml

echo "✅ Security scan completed"
```

**Secrets Management:**
```python
# wrd/secrets_manager.py
import os
import hvac
from kubernetes import client, config
from azure.keyvault.secrets import SecretClient
from azure.identity import DefaultAzureCredential

class SecretsManager:
    def __init__(self, backend='kubernetes'):
        self.backend = backend
        self._init_backend()
    
    def _init_backend(self):
        if self.backend == 'kubernetes':
            config.load_incluster_config()
            self.k8s_client = client.CoreV1Api()
        elif self.backend == 'vault':
            self.vault_client = hvac.Client(url=os.getenv('VAULT_URL'))
            self.vault_client.token = os.getenv('VAULT_TOKEN')
        elif self.backend == 'azure':
            credential = DefaultAzureCredential()
            vault_url = os.getenv('AZURE_KEY_VAULT_URL')
            self.az_client = SecretClient(vault_url=vault_url, credential=credential)
    
    def get_secret(self, name: str, namespace: str = 'default') -> str:
        if self.backend == 'kubernetes':
            secret = self.k8s_client.read_namespaced_secret(name, namespace)
            return secret.data
        elif self.backend == 'vault':
            response = self.vault_client.secrets.kv.v2.read_secret_version(path=name)
            return response['data']['data']
        elif self.backend == 'azure':
            secret = self.az_client.get_secret(name)
            return secret.value
    
    def create_secret(self, name: str, data: dict, namespace: str = 'default'):
        if self.backend == 'kubernetes':
            secret = client.V1Secret(
                metadata=client.V1ObjectMeta(name=name),
                string_data=data
            )
            return self.k8s_client.create_namespaced_secret(namespace, secret)
```

**RBAC Configuration:**
```yaml
# docker/k8s/rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: wrd-service-account
  namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  namespace: default
  name: wrd-role
rules:
- apiGroups: [""]
  resources: ["pods", "services", "configmaps", "secrets"]
  verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
- apiGroups: ["apps"]
  resources: ["deployments", "replicasets"]
  verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: wrd-role-binding
  namespace: default
subjects:
- kind: ServiceAccount
  name: wrd-service-account
  namespace: default
roleRef:
  kind: Role
  name: wrd-role
  apiGroup: rbac.authorization.k8s.io
```

**Network Security Policies:**
```yaml
# docker/k8s/network-policy.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: wrd-network-policy
spec:
  podSelector:
    matchLabels:
      managed-by: wrd
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          role: frontend
    ports:
    - protocol: TCP
      port: 8000
  egress:
  - to:
    - podSelector:
        matchLabels:
          role: database
    ports:
    - protocol: TCP
      port: 5432
  - to: []
    ports:
    - protocol: TCP
      port: 443
    - protocol: TCP
      port: 80
```

**Success Criteria:**
- Security scans complete without critical vulnerabilities
- Secrets are properly managed and encrypted
- RBAC policies enforce proper access control
- Network policies restrict unnecessary traffic
- Compliance requirements are met
- Vulnerability management workflow is automated

---

## Real-World Docker Scenarios

### ✅ Scenario 1: 48H Contest with Docker
**Implementation:** Complete containerized development workflow

```bash
# Day 1 Evening - Rapid setup
wrd create contest-app fastapi "Competition submission"
wrd docker-init contest-app --type fastapi --services postgres redis

# Instant development environment
wrd docker-dev contest-app
# Opens: http://localhost:8000 (API), http://localhost:5432 (DB), http://localhost:6379 (Redis)

# VS Code with remote containers
code --folder-uri vscode-remote://dev-container+$(pwd)/contest-app

# Day 2 Morning - Development in container
# All development happens in isolated environment
# Hot-reload, debugging, testing all containerized

# Day 2 Evening - One-command deployment
wrd docker-deploy contest-app --env production
# Automatically builds, pushes to registry, deploys to cloud
```

### ✅ Scenario 2: Remote Development from Phone/Tablet
**Implementation:** Browser-based development environment

```bash
# Setup accessible from anywhere
wrd docker-init remote-project --type python
wrd docker-dev remote-project

# Access from phone browser: http://your-server:8080
# Full VS Code experience in browser
# Claude Code available in terminal
# All changes persist and sync
```

### ✅ Scenario 3: Microservices Architecture
**Implementation:** Multi-container orchestration

```bash
# Initialize microservice ecosystem
wrd docker-init user-service --type fastapi --services postgres
wrd docker-init auth-service --type fastapi --services redis
wrd docker-init api-gateway --type fastapi

# Create umbrella docker-compose for all services
wrd docker-compose-create microservices-stack \
  --services user-service,auth-service,api-gateway \
  --network shared \
  --monitoring

# Start entire stack
wrd docker-stack-dev microservices-stack
```

### ✅ Scenario 4: CI/CD with Multiple Environments
**Implementation:** Automated deployment pipeline

```bash
# Setup environments
wrd docker-deploy my-app --env development  # Auto-deploy on push to develop
wrd docker-deploy my-app --env staging     # Auto-deploy on push to main
wrd docker-deploy my-app --env production  # Manual approval required

# Monitoring across environments
wrd docker-monitor my-app --env all
# Shows health, performance, costs across all environments
```

### ✅ Scenario 5: AI/ML Development with GPU Support
**Implementation:** GPU-enabled containers for AI development

```bash
# AI project with GPU support
wrd docker-init ai-project --type python \
  --gpu nvidia \
  --services jupyter,tensorboard,mlflow

# Includes:
# - NVIDIA Container Runtime
# - CUDA environment
# - Jupyter Lab with GPU access
# - TensorBoard for monitoring
# - MLflow for experiment tracking
```

---

## Docker Integration Success Metrics

### Technical Metrics:
- [ ] Container build time <2 minutes for typical projects
- [ ] Image size <500MB for production Python applications
- [ ] Container startup time <30 seconds
- [ ] Hot-reload latency <2 seconds for code changes
- [ ] Multi-service stack startup <60 seconds

### Development Experience Metrics:
- [ ] Zero-configuration development environment setup
- [ ] VS Code remote development works seamlessly
- [ ] Debugging in containers functions correctly
- [ ] Database and service dependencies auto-configure
- [ ] Environment parity between dev/staging/production

### Operations Metrics:
- [ ] Deployment automation success rate >95%
- [ ] Container security scans pass without critical issues
- [ ] Resource usage optimized (CPU <50%, Memory <80% under normal load)
- [ ] Log aggregation and monitoring operational
- [ ] Backup and disaster recovery tested and functional

### Cost Optimization:
- [ ] Multi-stage builds reduce image sizes by >50%
- [ ] Resource limits prevent runaway containers
- [ ] Auto-scaling responds appropriately to load
- [ ] Cloud costs optimized through efficient resource usage
- [ ] Development/testing costs minimized through local containers

---

## Docker Implementation Prompts for AI Assistants

### For Container Optimization:
```
Help me optimize WRD Docker containers for production:
1. Multi-stage builds to minimize image size
2. Security hardening and vulnerability reduction
3. Performance optimization for startup time
4. Resource usage optimization
5. Caching strategies for faster builds
6. Health checks and monitoring integration

Focus on Python/FastAPI applications with database dependencies.
```

### For Orchestration:
```
Create Docker Compose configurations for WRD projects:
1. Multi-service applications (API + DB + Cache + Monitoring)
2. Development vs production environment differences
3. Service discovery and networking
4. Volume management for persistent data
5. Environment variable and secrets management
6. Health checks and dependency management

Provide complete, production-ready configurations.
```

### For Cloud Deployment:
```
Implement cloud-native deployment for WRD Docker applications:
1. Kubernetes manifests and Helm charts
2. CI/CD pipeline integration
3. Auto-scaling and load balancing
4. Monitoring and observability
5. Security policies and RBAC
6. Multi-environment deployment strategies

Support AWS, GCP, and Azure with infrastructure as code.
```

---

*This Docker integration transforms WRD from a local development tool into a complete containerized development and deployment platform, enabling seamless workflows from development to production across any environment.*### ✅ 2.4 Docker Development Workflow Integration
**Priority:** HIGH | **Time:** 3-4 hours

**Tasks:**
- [ ] Integrate WRD commands with Docker environment
- [ ] Create development containers for different project types
- [ ] Set up hot-reload and live development
- [ ] Configure debugging in containerized environment
- [ ] Create project-specific Docker configurations
- [ ] Implement container-to-container communication for multi-service projects

**Docker Workflow Integration Prompt:**
```
Enhance WRD to work seamlessly with Docker development:

1. Auto-generate Dockerfiles for different project types
2. Container orchestration for multi-service projects
3. Hot-reload development with volume mounting
4. Debug configurations for containerized apps
5. Environment-specific container configurations
6. Integration between host WRD and containerized projects
7. Service discovery and networking for microservices
8. Database and external service containers

Features:
- wrd docker-init project_name --type python/fastapi/microservice
- wrd docker-dev project_name (start development environment)
- wrd docker-debug project_name (debug mode)
- wrd docker-deploy project_name --env staging/production
```

**Docker Workflow Implementation:**

**Enhanced WRD with Docker Support:**
```python
# wrd/docker_integration.py
import docker
import yaml
from pathlib import Path
from typing import Dict, List, Optional

class DockerManager:
    def __init__(self, wrd_config):
        self.wrd_config = wrd_config
        self.docker_client = docker.from_env()
        self.templates_dir = Path(__file__).parent / 'docker_templates'
    
    def generate_dockerfile(self, project_name: str, project_type: str, 
                          options: Dict = None) -> str:
        """Generate Dockerfile for project type"""
        options = options or {}
        
        if project_type == 'python':
            return self._generate_python_dockerfile(project_name, options)
        elif project_type == 'fastapi':
            return self._generate_fastapi_dockerfile(project_name, options)
        elif project_type == 'microservice':
            return self._generate_microservice_dockerfile(project_name, options)
        else:
            return self._generate_generic_dockerfile(project_name, options)
    
    def _generate_python_dockerfile(self, project_name: str, options: Dict) -> str:
        """Generate Python project Dockerfile"""
        python_version = options.get('python_version', '3.11')
        template = f"""# Generated by WRD for {project_name}
FROM python:{python_version}-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \\
    git \\
    curl \\
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy source code
COPY src/ ./src/
COPY tests/ ./tests/

# Create non-root user
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \\
    CMD python -c "import sys; sys.exit(0)"

EXPOSE 8000

CMD ["python", "src/main.py"]
"""
        return template

    def _generate_fastapi_dockerfile(self, project_name: str, options: Dict) -> str:
        """Generate FastAPI project Dockerfile"""
        template = f"""# Generated by WRD for {project_name}
FROM python:3.11-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \\
    git \\
    curl \\
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy source code
COPY src/ ./src/
COPY tests/ ./tests/

# Create non-root user
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \\
    CMD curl -f http://localhost:8000/health || exit 1

EXPOSE 8000

CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"]
"""
        return template

    def _generate_microservice_dockerfile(self, project_name: str, options: Dict) -> str:
        """Generate microservice Dockerfile with optimizations"""
        template = f"""# Generated by WRD for {project_name} microservice
# Multi-stage build for optimization
FROM python:3.11-slim as builder

WORKDIR /build

# Install build dependencies
RUN apt-get update && apt-get install -y \\
    build-essential \\
    && rm -rf /var/lib/apt/lists/*

# Build wheels
COPY requirements.txt .
RUN pip wheel --no-cache-dir --no-deps --wheel-dir /build/wheels -r requirements.txt

# Runtime stage
FROM python:3.11-slim

WORKDIR /app

# Install runtime dependencies
RUN apt-get update && apt-get install -y \\
    curl \\
    && rm -rf /var/lib/apt/lists/*

# Copy wheels and install
COPY --from=builder /build/wheels /wheels
COPY requirements.txt .
RUN pip install --no-cache-dir --no-index --find-links /wheels -r requirements.txt \\
    && rm -rf /wheels

# Copy source code
COPY src/ ./src/
COPY config/ ./config/

# Create non-root user
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \\
    CMD curl -f http://localhost:8000/health || exit 1

EXPOSE 8000

CMD ["gunicorn", "--bind", "0.0.0.0:8000", "--workers", "4", "--worker-class", "uvicorn.workers.UvicornWorker", "src.main:app"]
"""
        return template

    def generate_docker_compose(self, project_name: str, project_type: str, 
                               services: List[str] = None) -> Dict:
        """Generate docker-compose.yml for project"""
        services = services or []
        
        compose_config = {
            'version': '3.8',
            'services': {},
            'volumes': {},
            'networks': {
                'default': {
                    'name': f'{project_name}-network'
                }
            }
        }

        # Main application service
        compose_config['services'][project_name] = {
            'build': {
                'context': '.',
                'dockerfile': 'Dockerfile'
            },
            'container_name': f'{project_name}-app',
            'restart': 'unless-stopped',
            'ports': ['8000:8000'],
            'volumes': [
                './src:/app/src',
                './tests:/app/tests',
                f'{project_name}-data:/app/data'
            ],
            'environment': [
                f'PROJECT_NAME={project_name}',
                'ENVIRONMENT=development'
            ],
            'depends_on': []
        }

        # Add database if requested
        if 'postgres' in services:
            compose_config['services']['postgres'] = {
                'image': 'postgres:15-alpine',
                'container_name': f'{project_name}-postgres',
                'restart': 'unless-stopped',
                'environment': [
                    'POSTGRES_DB=' + project_name,
                    'POSTGRES_USER=developer',
                    'POSTGRES_PASSWORD=devpassword'
                ],
                'volumes': [
                    f'{project_name}-postgres:/var/lib/postgresql/data'
                ],
                'ports': ['5432:5432']
            }
            compose_config['services'][project_name]['depends_on'].append('postgres')
            compose_config['volumes'][f'{project_name}-postgres'] = {'driver': 'local'}

        # Add Redis if requested
        if 'redis' in services:
            compose_config['services']['redis'] = {
                'image': 'redis:7-alpine',
                'container_name': f'{project_name}-redis',
                'restart': 'unless-stopped',
                'ports': ['6379:6379'],
                'volumes': [
                    f'{project_name}-redis:/data'
                ]
            }
            compose_config['services'][project_name]['depends_on'].append('redis')
            compose_config['volumes'][f'{project_name}-redis'] = {'driver': 'local'}

        # Add monitoring if requested
        if 'monitoring' in services:
            compose_config['services']['prometheus'] = {
                'image': 'prom/prometheus:latest',
                'container_name': f'{project_name}-prometheus',
                'ports': ['9090:9090'],
                'volumes': [
                    './docker/prometheus.yml:/etc/prometheus/prometheus.yml:ro'
                ]
            }
            
            compose_config['services']['grafana'] = {
                'image': 'grafana/grafana:latest',
                'container_name': f'{project_name}-grafana',
                'ports': ['3000:3000'],
                'environment': [
                    'GF_SECURITY_ADMIN_PASSWORD=admin'
                ]
            }

        # Add volumes
        compose_config['volumes'][f'{project_name}-data'] = {'driver': 'local'}

        return compose_config

    def start_development_environment(self, project_name: str):
        """Start development environment with hot-reload"""
        project_dir = self.wrd_config.projects_dir / project_name
        
        # Generate development docker-compose
        dev_compose = self.generate_docker_compose(
            project_name, 
            'development',
            services=['postgres', 'redis']
        )
        
        # Add development-specific overrides
        dev_compose['services'][project_name].update({
            'volumes': [
                './src:/app/src:z',  # Hot-reload source
                './tests:/app/tests:z',
                './config:/app/config:z'
            ],
            'environment': [
                f'PROJECT_NAME={project_name}',
                'ENVIRONMENT=development',
                'DEBUG=true',
                'RELOAD=true'
            ],
            'command': [
                'uvicorn', 'src.main:app', 
                '--host', '0.0.0.0', 
                '--port', '8000',
                '--reload',
                '--reload-dir', '/app/src'
            ]
        })

        # Write docker-compose.dev.yml
        compose_file = project_dir / 'docker-compose.dev.yml'
        with open(compose_file, 'w') as f:
            yaml.dump(dev_compose, f, default_flow_style=False)

        # Start services
        import subprocess
        subprocess.run([
            'docker-compose', 
            '-f', str(compose_file),
            'up', '-d'
        ], cwd=project_dir)

        return f"Development environment started for {project_name}"

    def create_debug_configuration(self, project_name: str, project_type: str):
        """Create VS Code debug configuration for containerized development"""
        project_dir = self.wrd_config.projects_dir / project_name
        vscode_dir = project_dir / '.vscode'
        vscode_dir.mkdir(exist_ok=True)

        if project_type in ['python', 'fastapi']:
            debug_config = {
                "version": "0.2.0",
                "configurations": [
                    {
                        "name": "Python: Remote Attach",
                        "type": "python",
                        "request": "attach",
                        "connect": {
                            "host": "localhost",
                            "port": 5678
                        },
                        "pathMappings": [
                            {
                                "localRoot": "${workspaceFolder}/src",
                                "remoteRoot": "/app/src"
                            }
                        ]
                    },
                    {
                        "name": "FastAPI: Debug Server",
                        "type": "python",
                        "request": "launch",
                        "program": "${workspaceFolder}/src/main.py",
                        "console": "integratedTerminal",
                        "env": {
                            "PYTHONPATH": "${workspaceFolder}/src"
                        }
                    }
                ]
            }

            with open(vscode_dir / 'launch.json', 'w') as f:
                import json
                json.dump(debug_config, f, indent=2)

        # Create debug Dockerfile
        debug_dockerfile = f"""# Debug version of {project_name}
FROM python:3.11-slim

WORKDIR /app

# Install debug dependencies
RUN pip install debugpy

# Install system dependencies
RUN apt-get update && apt-get install -y \\
    git \\
    curl \\
    && rm -rf /var/lib/apt/lists/*

# Copy requirements and install
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy source code
COPY src/ ./src/
COPY tests/ ./tests/

# Expose debug port
EXPOSE 8000 5678

# Start with debugpy
CMD ["python", "-m", "debugpy", "--listen", "0.0.0.0:5678", "--wait-for-client", "src/main.py"]
"""

        with open(project_dir / 'Dockerfile.debug', 'w') as f:
            f.write(debug_dockerfile)

        return f"Debug configuration created for {project_name}"


# Enhanced WRD CLI with Docker commands
class WRDDockerCLI:
    def __init__(self, wrd_manager):
        self.wrd_manager = wrd_manager
        self.docker_manager = DockerManager(wrd_manager.config)

    def docker_init(self, project_name: str, project_type: str = 'python', 
                   services: List[str] = None, **options):
        """Initialize Docker configuration for project"""
        project_dir = self.wrd_manager.config.projects_dir / project_name
        
        if not project_dir.exists():
            print(f"Project {project_name} does not exist. Creating...")
            self.wrd_manager.create_project(project_name, project_type)

        # Generate Dockerfile
        dockerfile_content = self.docker_manager.generate_dockerfile(
            project_name, project_type, options
        )
        with open(project_dir / 'Dockerfile', 'w') as f:
            f.write(dockerfile_content)

        # Generate docker-compose.yml
        compose_config = self.docker_manager.generate_docker_compose(
            project_name, project_type, services or []
        )
        with open(project_dir / 'docker-compose.yml', 'w') as f:
            yaml.dump(compose_config, f, default_flow_style=False)

        # Generate .dockerignore
        dockerignore_content = """# Generated by WRD
__pycache__/
*.pyc
*.pyo
*.pyd
.Python
env/
venv/
.venv/
pip-log.txt
pip-delete-this-directory.txt
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.log
.git
.mypy_cache
.pytest_cache
.hypothesis
.DS_Store
*.swp
*.swo
*~
"""
        with open(project_dir / '.dockerignore', 'w') as f:
            f.write(dockerignore_content)

        # Create debug configuration
        self.docker_manager.create_debug_configuration(project_name, project_type)

        print(f"✅ Docker configuration created for {project_name}")
        print(f"📁 Files created:")
        print(f"  - Dockerfile")
        print(f"  - docker-compose.yml") 
        print(f"  - .dockerignore")
        print(f"  - .vscode/launch.json (debug config)")
        print(f"  - Dockerfile.debug")
        print(f"")
        print(f"🚀 Quick start:")
        print(f"  cd {project_dir}")
        print(f"  wrd docker-dev {project_name}")

    def docker_dev(self, project_name: str):
        """Start development environment"""
        result = self.docker_manager.start_development_environment(project_name)
        print(result)
        
        project_dir = self.wrd_manager.config.projects_dir / project_name
        print(f"🌐 Development server: http://localhost:8000")
        print(f"🐳 Services running:")
        
        # Show running containers
        import subprocess
        result = subprocess.run([
            'docker-compose', '-f', 'docker-compose.dev.yml', 'ps'
        ], cwd=project_dir, capture_output=True, text=True)
        print(result.stdout)

    def docker_debug(self, project_name: str):
        """Start debug environment"""
        project_dir = self.wrd_manager.config.projects_dir / project_name
        
        # Build debug image
        import subprocess
        subprocess.run([
            'docker', 'build', 
            '-f', 'Dockerfile.debug',
            '-t', f'{project_name}:debug',
            '.'
        ], cwd=project_dir)

        # Run debug container
        subprocess.run([
            'docker', 'run', 
            '-it', '--rm',
            '-p', '8000:8000',
            '-p', '5678:5678',
            '-v', f'{project_dir}/src:/app/src',
            f'{project_name}:debug'
        ])

    def docker_deploy(self, project_name: str, environment: str = 'staging'):
        """Deploy to environment"""
        project_dir = self.wrd_manager.config.projects_dir / project_name
        
        # Generate production docker-compose
        prod_compose = self.docker_manager.generate_docker_compose(
            project_name, 'production'
        )
        
        # Add production-specific configuration
        prod_compose['services'][project_name].update({
            'restart': 'always',
            'environment': [
                f'PROJECT_NAME={project_name}',
                f'ENVIRONMENT={environment}'
            ],
            'deploy': {
                'resources': {
                    'limits': {
                        'memory': '512M',
                        'cpus': '0.5'
                    }
                }
            }
        })

        compose_file = project_dir / f'docker-compose.{environment}.yml'
        with open(compose_file, 'w') as f:
            yaml.dump(prod_compose, f, default_flow_style=False)

        print(f"🚀 Deploying {project_name} to {environment}")
        
        import subprocess
        subprocess.run([
            'docker-compose',
            '-f', str(compose_file),
            'up', '-d', '--build'
        ], cwd=project_dir)

        print(f"✅ Deployed to {environment}")

    def docker_logs(self, project_name: str, service: str = None):
        """Show container logs"""
        project_dir = self.wrd_manager.config.projects_dir / project_name
        
        import subprocess
        cmd = ['docker-compose', 'logs', '-f']
        if service:
            cmd.append(service)
        
        subprocess.run(cmd, cwd=project_dir)

    def docker_shell(self, project_name: str, service: str = None):
        """Open shell in container"""
        if not service:
            service = project_name
            
        import subprocess
        subprocess.run([
            'docker-compose', 'exec', service, '/bin/bash'
        ])

    def docker_clean(self, project_name: str = None):
        """Clean up Docker resources"""
        import subprocess
        
        if project_name:
            # Clean project-specific resources
            project_dir = self.wrd_manager.config.projects_dir / project_name
            subprocess.run(['docker-compose', 'down', '-v'], cwd=project_dir)
            subprocess.run(['docker', 'rmi', f'{project_name}:latest'], capture_output=True)
        else:
            # General cleanup
            subprocess.run(['docker', 'system', 'prune', '-f'])
            subprocess.run(['docker', 'volume', 'prune', '-f'])

        print(f"🧹 Docker cleanup completed for {project_name or 'all projects'}")


# CLI Integration
def add_docker_commands(parser):
    """Add Docker commands to WRD CLI"""
    docker_parser = parser.add_subparsers(dest='docker_command', help='Docker commands')
    
    # docker-init
    init_parser = docker_parser.add_parser('docker-init', help='Initialize Docker for project')
    init_parser.add_argument('project', help='Project name')
    init_parser.add_argument('--type', default='python', help='Project type')
    init_parser.add_argument('--services', nargs='+', help='Additional services (postgres, redis, monitoring)')
    init_parser.add_argument('--python-version', default='3.11', help='Python version')
    
    # docker-dev
    dev_parser = docker_parser.add_parser('docker-dev', help='Start development environment')
    dev_parser.add_argument('project', help='Project name')
    
    # docker-debug
    debug_parser = docker_parser.add_parser('docker-debug', help='Start debug environment')
    debug_parser.add_argument('project', help='Project name')
    
    # docker-deploy
    deploy_parser = docker_parser.add_parser('docker-deploy', help='Deploy to environment')
    deploy_parser.add_argument('project', help='Project name')
    deploy_parser.add_argument('--env', default='staging', help='Environment (staging/production)')
    
    # docker-logs
    logs_parser = docker_parser.add_parser('docker-logs', help='Show container logs')
    logs_parser.add_argument('project', help='Project name')
    logs_parser.add_argument('--service', help='Specific service')
    
    # docker-shell
    shell_parser = docker_parser.add_parser('docker-shell', help='Open container shell')
    shell_parser.add_argument('project', help='Project name')
    shell_parser.add_argument('--service', help='Specific service')
    
    # docker-clean
    clean_parser = docker_parser.add_parser('docker-clean', help='Clean Docker resources')
    clean_parser.add_argument('--project', help='Specific project (default: all)')
```

**Usage Examples:**
```bash
# Initialize Docker for new project
wrd docker-init my-api --type fastapi --services postgres redis monitoring

# Start development environment with hot-reload
wrd docker-dev my-api

# Debug containerized application
wrd docker-debug my-api

# Deploy to staging
wrd docker-deploy my-api --env staging

# View logs
wrd docker-logs my-api

# Open shell in container
wrd docker-shell my-api

# Clean up
wrd docker-clean --project my-api
```

**Success Criteria:**
- Docker integration seamlessly works with WRD projects
- Hot-reload development environment functions correctly
- Debug configurations work in VS Code
- Multi-service orchestration works reliably
- Deployment to different environments is automated
- Container resource usage is optimized

---# 🚀 WRD (Word) Implementation TODO List

## Phase 1: Foundation Setup (Week 1)

### ✅ 1.0 Docker Isolated Environment
**Priority:** CRITICAL | **Time:** 4-6 hours

**Tasks:**
- [ ] Create WRD development Docker image
- [ ] Set up browser-based VS Code (code-server)
- [ ] Configure Claude Code in container
- [ ] Set up volume mounting for projects
- [ ] Create docker-compose for full stack
- [ ] Configure remote access and port forwarding

**Docker Environment Prompt:**
```
Create isolated Docker environment for WRD + Claude Code development:

1. Base image: Ubuntu/Fedora with all development tools
2. Pre-installed: Python 3.11, Node.js, Git, Claude Code, development tools
3. Browser-based VS Code (code-server) for remote development
4. Persistent volumes for projects and configuration
5. Network configuration for remote access
6. Environment variables for API keys
7. Health checks and auto-restart
8. Multi-stage build for optimization

Requirements:
- Secure remote access
- Persistent data between container restarts
- Easy deployment and scaling
- Support for SSH tunneling
- Resource limiting and monitoring
```

**Docker Implementation:**

**Dockerfile for WRD Development Environment:**
```dockerfile
# Dockerfile.wrd-dev
FROM ubuntu:22.04

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Warsaw

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    wget \
    git \
    vim \
    tmux \
    htop \
    tree \
    jq \
    unzip \
    build-essential \
    python3.11 \
    python3.11-venv \
    python3-pip \
    nodejs \
    npm \
    openssh-client \
    sudo \
    ca-certificates \
    gnupg \
    lsb-release \
    && rm -rf /var/lib/apt/lists/*

# Create development user
RUN useradd -m -s /bin/bash -G sudo developer && \
    echo 'developer ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers

# Install code-server (browser VS Code)
RUN curl -fsSL https://code-server.dev/install.sh | sh

# Install Claude Code CLI
USER developer
WORKDIR /home/developer

# Install Claude Code
RUN npm install -g @anthropic-ai/claude-code

# Set up Python environment
RUN python3.11 -m venv ~/.wrd-env && \
    echo 'source ~/.wrd-env/bin/activate' >> ~/.bashrc

# Copy WRD source and install
COPY --chown=developer:developer . /home/developer/wrd-source/
RUN cd /home/developer/wrd-source && \
    ~/.wrd-env/bin/pip install -e .

# Create workspace directories
RUN mkdir -p /home/developer/claude-projects/{templates,scripts,docs,archive}

# Configure code-server
RUN mkdir -p ~/.config/code-server
COPY --chown=developer:developer docker/code-server-config.yaml ~/.config/code-server/config.yaml

# Configure WRD
RUN ~/.wrd-env/bin/wrd status || true

# Copy entrypoint script
COPY --chown=developer:developer docker/entrypoint.sh /home/developer/
RUN chmod +x /home/developer/entrypoint.sh

# Expose ports
EXPOSE 8080 2222

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8080 || exit 1

ENTRYPOINT ["/home/developer/entrypoint.sh"]
```

**Docker Compose Configuration:**
```yaml
# docker-compose.yml
version: '3.8'

services:
  wrd-dev:
    build:
      context: .
      dockerfile: Dockerfile.wrd-dev
    container_name: wrd-development
    hostname: wrd-dev
    restart: unless-stopped
    
    ports:
      - "8080:8080"    # code-server web interface
      - "2222:2222"    # SSH access
      - "8000:8000"    # Development server
      - "3000:3000"    # Additional dev port
    
    volumes:
      # Persistent project data
      - wrd-projects:/home/developer/claude-projects
      - wrd-config:/home/developer/.wrd
      - wrd-vscode:/home/developer/.local/share/code-server
      
      # SSH keys (optional)
      - ~/.ssh:/home/developer/.ssh:ro
      
      # Git configuration
      - ~/.gitconfig:/home/developer/.gitconfig:ro
    
    environment:
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
      - WRD_ENVIRONMENT=docker
      - CODE_SERVER_PASSWORD=${CODE_SERVER_PASSWORD:-wrd-development}
      - TZ=Europe/Warsaw
    
    # Resource limits
    deploy:
      resources:
        limits:
          memory: 4G
          cpus: '2.0'
        reservations:
          memory: 1G
          cpus: '0.5'
    
    # Health check
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  # Optional: Database for project metadata
  wrd-db:
    image: sqlite:latest
    container_name: wrd-database
    volumes:
      - wrd-data:/data
    environment:
      - SQLITE_DATABASE=wrd_projects.db

  # Optional: Nginx reverse proxy
  wrd-proxy:
    image: nginx:alpine
    container_name: wrd-proxy
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./docker/nginx.conf:/etc/nginx/nginx.conf:ro
      - ./docker/ssl:/etc/nginx/ssl:ro
    depends_on:
      - wrd-dev
    restart: unless-stopped

volumes:
  wrd-projects:
    driver: local
  wrd-config:
    driver: local
  wrd-vscode:
    driver: local
  wrd-data:
    driver: local

networks:
  default:
    name: wrd-network
```

**Configuration Files:**

**code-server-config.yaml:**
```yaml
# docker/code-server-config.yaml
bind-addr: 0.0.0.0:8080
auth: password
password: ${CODE_SERVER_PASSWORD}
cert: false
user-data-dir: /home/developer/.local/share/code-server
extensions-dir: /home/developer/.local/share/code-server/extensions
```

**entrypoint.sh:**
```bash
#!/bin/bash
# docker/entrypoint.sh

set -e

echo "🚀 Starting WRD Development Environment..."

# Activate Python environment
source ~/.wrd-env/bin/activate

# Configure git if not already done
if [ ! -f ~/.gitconfig ]; then
    git config --global user.name "WRD Developer"
    git config --global user.email "wrd@example.com"
    git config --global init.defaultBranch main
fi

# Initialize WRD if first run
if [ ! -f ~/.wrd/config.json ]; then
    echo "🔧 Initializing WRD configuration..."
    wrd status
fi

# Install VS Code extensions
echo "📦 Installing VS Code extensions..."
~/.local/bin/code-server --install-extension ms-python.python
~/.local/bin/code-server --install-extension ms-vscode.vscode-json
~/.local/bin/code-server --install-extension redhat.vscode-yaml
~/.local/bin/code-server --install-extension ms-vscode.makefile-tools
~/.local/bin/code-server --install-extension ms-toolsai.jupyter

# Start SSH daemon (optional)
if [ "$ENABLE_SSH" = "true" ]; then
    sudo service ssh start
fi

# Start development services in background
if [ "$WRD_AUTO_START" = "true" ]; then
    echo "🔄 Starting background services..."
    # Add any background services here
fi

echo "✅ WRD Development Environment ready!"
echo "🌐 VS Code available at: http://localhost:8080"
echo "🔑 Password: ${CODE_SERVER_PASSWORD}"
echo "📁 Projects directory: /home/developer/claude-projects"

# Start code-server
exec ~/.local/bin/code-server \
    --bind-addr 0.0.0.0:8080 \
    --user-data-dir ~/.local/share/code-server \
    --extensions-dir ~/.local/share/code-server/extensions \
    /home/developer/claude-projects
```

**Management Scripts:**

**deploy.sh:**
```bash
#!/bin/bash
# docker/deploy.sh - WRD Docker deployment script

set -e

WRD_VERSION=${1:-latest}
ENVIRONMENT=${2:-development}

echo "🚀 Deploying WRD Docker Environment v${WRD_VERSION}"

# Load environment variables
if [ -f ".env.${ENVIRONMENT}" ]; then
    source ".env.${ENVIRONMENT}"
    echo "📋 Loaded environment: ${ENVIRONMENT}"
fi

# Build development image
echo "🔨 Building WRD development image..."
docker-compose build wrd-dev

# Start services
echo "🌟 Starting WRD services..."
docker-compose up -d

# Wait for services to be ready
echo "⏳ Waiting for services to start..."
sleep 30

# Health check
echo "🔍 Checking service health..."
docker-compose ps

# Display access information
WRD_IP=$(docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' wrd-development)
echo ""
echo "✅ WRD Development Environment deployed successfully!"
echo "🌐 Web VS Code: http://localhost:8080"
echo "🐳 Container IP: ${WRD_IP}"
echo "📊 Health status: $(docker inspect --format='{{.State.Health.Status}}' wrd-development)"
echo ""
echo "Quick start commands:"
echo "  docker exec -it wrd-development bash"
echo "  docker-compose logs -f wrd-dev"
echo "  docker-compose down  # to stop"
```

**Environment Configuration:**
```bash
# .env.development
ANTHROPIC_API_KEY=your-api-key-here
CODE_SERVER_PASSWORD=secure-password-123
WRD_ENVIRONMENT=development
ENABLE_SSH=true
WRD_AUTO_START=true
TZ=Europe/Warsaw

# .env.production
ANTHROPIC_API_KEY=your-production-api-key
CODE_SERVER_PASSWORD=very-secure-production-password
WRD_ENVIRONMENT=production
ENABLE_SSH=false
WRD_AUTO_START=true
TZ=Europe/Warsaw
```

**Usage Commands:**
```bash
# Deploy development environment
./docker/deploy.sh latest development

# Access container shell
docker exec -it wrd-development bash

# View logs
docker-compose logs -f wrd-dev

# Restart services
docker-compose restart

# Update environment
docker-compose pull && docker-compose up -d

# Backup projects
docker run --rm -v wrd-projects:/data -v $(pwd):/backup ubuntu tar czf /backup/wrd-backup-$(date +%Y%m%d).tar.gz -C /data .

# Restore projects
docker run --rm -v wrd-projects:/data -v $(pwd):/backup ubuntu tar xzf /backup/wrd-backup-YYYYMMDD.tar.gz -C /data
```

### ✅ 1.4 Advanced Docker Features
**Priority:** MEDIUM | **Time:** 3-4 hours

**Tasks:**
- [ ] Multi-stage Docker builds for optimization
- [ ] Docker secrets management
- [ ] Container orchestration with Docker Swarm
- [ ] Monitoring and logging setup
- [ ] Automated backups and disaster recovery
- [ ] Development vs Production configurations

**Advanced Docker Prompt:**
```
Enhance WRD Docker environment with production-ready features:

1. Multi-stage builds to reduce image size
2. Secret management for API keys and passwords
3. Container monitoring with health checks and metrics
4. Automated backup strategies for persistent data
5. Development/staging/production environment separation
6. CI/CD integration with Docker builds
7. Resource monitoring and alerting
8. Log aggregation and analysis
9. Security hardening and vulnerability scanning

Make it enterprise-ready with scalability and reliability
```

**Advanced Docker Implementation:**

**Multi-stage Dockerfile:**
```dockerfile
# Dockerfile.wrd-production
# Stage 1: Build environment
FROM ubuntu:22.04 AS builder

ENV DEBIAN_FRONTEND=noninteractive

# Install build dependencies
RUN apt-get update && apt-get install -y \
    curl \
    wget \
    git \
    build-essential \
    python3.11 \
    python3.11-venv \
    python3-pip \
    nodejs \
    npm \
    && rm -rf /var/lib/apt/lists/*

# Create build user
RUN useradd -m builder
USER builder
WORKDIR /home/builder

# Install Claude Code and build WRD
RUN python3.11 -m venv venv
COPY --chown=builder:builder . /home/builder/wrd-source/
RUN cd /home/builder/wrd-source && \
    venv/bin/pip install wheel && \
    venv/bin/pip install -e .

# Build optimized Python wheel
RUN cd /home/builder/wrd-source && \
    venv/bin/python setup.py bdist_wheel

# Stage 2: Runtime environment
FROM ubuntu:22.04 AS runtime

ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Warsaw
ENV PYTHONUNBUFFERED=1

# Install only runtime dependencies
RUN apt-get update && apt-get install -y \
    curl \
    git \
    python3.11 \
    python3.11-venv \
    nodejs \
    npm \
    sudo \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Create runtime user with minimal privileges
RUN useradd -m -s /bin/bash -G sudo developer && \
    echo 'developer ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers

USER developer
WORKDIR /home/developer

# Install code-server
RUN curl -fsSL https://code-server.dev/install.sh | sh

# Copy built wheel and install
COPY --from=builder --chown=developer:developer /home/builder/wrd-source/dist/*.whl /tmp/
RUN python3.11 -m venv ~/.wrd-env && \
    ~/.wrd-env/bin/pip install /tmp/*.whl && \
    rm /tmp/*.whl

# Install Claude Code
RUN npm install -g @anthropic-ai/claude-code

# Create workspace
RUN mkdir -p /home/developer/claude-projects/{templates,scripts,docs,archive}

# Copy configuration files
COPY --chown=developer:developer docker/entrypoint-production.sh /home/developer/
COPY --chown=developer:developer docker/healthcheck.sh /home/developer/
RUN chmod +x /home/developer/entrypoint-production.sh /home/developer/healthcheck.sh

EXPOSE 8080

HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD /home/developer/healthcheck.sh

ENTRYPOINT ["/home/developer/entrypoint-production.sh"]
```

**Production Docker Compose:**
```yaml
# docker-compose.production.yml
version: '3.8'

services:
  wrd-app:
    build:
      context: .
      dockerfile: Dockerfile.wrd-production
      target: runtime
    image: wrd:${WRD_VERSION:-latest}
    container_name: wrd-app-${ENVIRONMENT:-prod}
    hostname: wrd-${ENVIRONMENT:-prod}
    restart: unless-stopped
    
    ports:
      - "${WRD_PORT:-8080}:8080"
    
    volumes:
      - wrd-projects-${ENVIRONMENT:-prod}:/home/developer/claude-projects
      - wrd-config-${ENVIRONMENT:-prod}:/home/developer/.wrd
      - wrd-vscode-${ENVIRONMENT:-prod}:/home/developer/.local/share/code-server
    
    environment:
      - WRD_ENVIRONMENT=${ENVIRONMENT:-production}
      - TZ=${TZ:-Europe/Warsaw}
      - WRD_LOG_LEVEL=${WRD_LOG_LEVEL:-INFO}
    
    secrets:
      - anthropic_api_key
      - vscode_password
    
    deploy:
      resources:
        limits:
          memory: ${WRD_MEMORY_LIMIT:-2G}
          cpus: '${WRD_CPU_LIMIT:-1.0}'
        reservations:
          memory: ${WRD_MEMORY_RESERVE:-512M}
          cpus: '${WRD_CPU_RESERVE:-0.25}'
      
      update_config:
        parallelism: 1
        delay: 30s
        failure_action: rollback
        order: stop-first
      
      restart_policy:
        condition: on-failure
        delay: 30s
        max_attempts: 3
        window: 120s
    
    healthcheck:
      test: ["/home/developer/healthcheck.sh"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s
    
    logging:
      driver: "json-file"
      options:
        max-size: "100m"
        max-file: "5"

  # Monitoring and logging
  wrd-monitor:
    image: prom/prometheus:latest
    container_name: wrd-prometheus
    ports:
      - "9090:9090"
    volumes:
      - ./docker/prometheus.yml:/etc/prometheus/prometheus.yml:ro
      - prometheus-data:/prometheus
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/etc/prometheus/console_libraries'
      - '--web.console.templates=/etc/prometheus/consoles'

  wrd-grafana:
    image: grafana/grafana:latest
    container_name: wrd-grafana
    ports:
      - "3000:3000"
    volumes:
      - grafana-data:/var/lib/grafana
      - ./docker/grafana:/etc/grafana/provisioning
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD:-admin}

  # Backup service
  wrd-backup:
    image: alpine:latest
    container_name: wrd-backup
    volumes:
      - wrd-projects-${ENVIRONMENT:-prod}:/data/projects:ro
      - wrd-config-${ENVIRONMENT:-prod}:/data/config:ro
      - ./backups:/backups
    environment:
      - BACKUP_SCHEDULE=${BACKUP_SCHEDULE:-0 2 * * *}
      - BACKUP_RETENTION=${BACKUP_RETENTION:-7}
    command: |
      sh -c "
        echo '${BACKUP_SCHEDULE} cd /backups && tar czf wrd-backup-$(date +%Y%m%d-%H%M%S).tar.gz -C /data .' | crontab -
        crond -f
      "

secrets:
  anthropic_api_key:
    external: true
  vscode_password:
    external: true

volumes:
  wrd-projects-prod:
    driver: local
    driver_opts:
      type: none
      o: bind
      device: ${WRD_DATA_PATH:-/opt/wrd/data}/projects
  
  wrd-config-prod:
    driver: local
    driver_opts:
      type: none
      o: bind
      device: ${WRD_DATA_PATH:-/opt/wrd/data}/config
  
  wrd-vscode-prod:
    driver: local
  
  prometheus-data:
    driver: local
  
  grafana-data:
    driver: local

networks:
  default:
    name: wrd-network-${ENVIRONMENT:-prod}
    driver: bridge
```

**Monitoring Configuration:**
```yaml
# docker/prometheus.yml
global:
  scrape_interval: 15s
  evaluation_interval: 15s

rule_files:
  - "alert_rules.yml"

scrape_configs:
  - job_name: 'wrd-app'
    static_configs:
      - targets: ['wrd-app:8080']
    metrics_path: '/metrics'
    scrape_interval: 30s

  - job_name: 'docker'
    static_configs:
      - targets: ['localhost:9323']

alerting:
  alertmanagers:
    - static_configs:
        - targets:
          - alertmanager:9093
```

**Health Check Script:**
```bash
#!/bin/bash
# docker/healthcheck.sh

# Check if code-server is running
if ! pgrep -f "code-server" > /dev/null; then
    echo "ERROR: code-server not running"
    exit 1
fi

# Check if WRD is accessible
if ! ~/.wrd-env/bin/wrd status > /dev/null 2>&1; then
    echo "ERROR: WRD not responding"
    exit 1
fi

# Check if Claude Code is available
if ! command -v claude-code > /dev/null; then
    echo "ERROR: Claude Code not installed"
    exit 1
fi

# Check disk space
DISK_USAGE=$(df /home/developer/claude-projects | awk 'NR==2 {print $5}' | sed 's/%//')
if [ "$DISK_USAGE" -gt 90 ]; then
    echo "WARNING: Disk usage high: ${DISK_USAGE}%"
    exit 1
fi

# Check memory usage
MEMORY_USAGE=$(free | grep Mem | awk '{printf "%.0f", $3/$2 * 100}')
if [ "$MEMORY_USAGE" -gt 90 ]; then
    echo "WARNING: Memory usage high: ${MEMORY_USAGE}%"
    exit 1
fi

echo "OK: All health checks passed"
exit 0
```

**Deployment Automation:**
```bash
#!/bin/bash
# docker/deploy-production.sh

set -e

ENVIRONMENT=${1:-production}
VERSION=${2:-latest}
FORCE_REBUILD=${3:-false}

echo "🚀 Deploying WRD ${VERSION} to ${ENVIRONMENT}"

# Load environment configuration
if [ -f ".env.${ENVIRONMENT}" ]; then
    export $(cat .env.${ENVIRONMENT} | xargs)
    echo "📋 Loaded environment: ${ENVIRONMENT}"
fi

# Create secrets
echo "🔐 Setting up secrets..."
echo "$ANTHROPIC_API_KEY" | docker secret create anthropic_api_key - 2>/dev/null || echo "Secret already exists"
echo "$CODE_SERVER_PASSWORD" | docker secret create vscode_password - 2>/dev/null || echo "Secret already exists"

# Build or pull image
if [ "$FORCE_REBUILD" = "true" ]; then
    echo "🔨 Building WRD image..."
    docker-compose -f docker-compose.production.yml build wrd-app
else
    echo "📥 Pulling WRD image..."
    docker-compose -f docker-compose.production.yml pull wrd-app || {
        echo "🔨 Pull failed, building locally..."
        docker-compose -f docker-compose.production.yml build wrd-app
    }
fi

# Deploy with zero downtime
echo "🔄 Deploying services..."
docker-compose -f docker-compose.production.yml up -d

# Wait for health check
echo "⏳ Waiting for services to be healthy..."
timeout 300 bash -c 'until docker inspect --format="{{.State.Health.Status}}" wrd-app-${ENVIRONMENT} | grep -q healthy; do sleep 5; done'

# Verify deployment
echo "🔍 Verifying deployment..."
docker-compose -f docker-compose.production.yml ps

# Clean up old images
echo "🧹 Cleaning up old images..."
docker image prune -f

echo "✅ Deployment completed successfully!"
echo "🌐 Application available at: http://localhost:${WRD_PORT:-8080}"
echo "📊 Monitoring available at: http://localhost:9090 (Prometheus) and http://localhost:3000 (Grafana)"
```

**CI/CD Pipeline:**
```yaml
# .github/workflows/docker-deploy.yml
name: Build and Deploy WRD Docker

on:
  push:
    branches: [ main, develop ]
    tags: [ 'v*' ]
  pull_request:
    branches: [ main ]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}/wrd

jobs:
  build:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
    - name: Checkout repository
      uses: actions/checkout@v3

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v2

    - name: Log in to Container Registry
      uses: docker/login-action@v2
      with:
        registry: ${{ env.REGISTRY }}
        username: ${{ github.actor }}
        password: ${{ secrets.GITHUB_TOKEN }}

    - name: Extract metadata
      id: meta
      uses: docker/metadata-action@v4
      with:
        images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
        tags: |
          type=ref,event=branch
          type=ref,event=pr
          type=semver,pattern={{version}}
          type=semver,pattern={{major}}.{{minor}}

    - name: Build and push Docker image
      uses: docker/build-push-action@v4
      with:
        context: .
        file: Dockerfile.wrd-production
        push: true
        tags: ${{ steps.meta.outputs.tags }}
        labels: ${{ steps.meta.outputs.labels }}
        cache-from: type=gha
        cache-to: type=gha,mode=max

  deploy:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    environment: production

    steps:
    - name: Checkout repository
      uses: actions/checkout@v3

    - name: Deploy to production
      run: |
        # Setup deployment environment
        echo "ANTHROPIC_API_KEY=${{ secrets.ANTHROPIC_API_KEY }}" > .env.production
        echo "CODE_SERVER_PASSWORD=${{ secrets.CODE_SERVER_PASSWORD }}" >> .env.production
        echo "WRD_VERSION=${{ github.sha }}" >> .env.production
        
        # Deploy
        chmod +x docker/deploy-production.sh
        ./docker/deploy-production.sh production ${{ github.sha }}
```

**Success Criteria:**
- Multi-stage builds reduce image size by >50%
- Production deployment with zero downtime
- Automated backups and monitoring working
- CI/CD pipeline builds and deploys successfully
- Security scanning passes without critical vulnerabilities
- Resource usage optimized and monitored

---
**Priority:** CRITICAL | **Time:** 2-3 hours

**Tasks:**
- [ ] Run Fedora setup script
- [ ] Install basic development tools
- [ ] Configure SSH for remote access
- [ ] Test Docker installation
- [ ] Verify Python 3.8+ environment

**Example Commands:**
```bash
# Download and run setup script
curl -fsSL https://raw.githubusercontent.com/user/wrd/main/setup-fedora.sh | bash

# Test environment
python3 --version
docker --version
ssh localhost "echo 'SSH works'"
```

**Success Criteria:**
- All tools installed without errors
- SSH access works from external device
- Docker containers can be created and run

---

### ✅ 1.2 WRD Package Development
**Priority:** HIGH | **Time:** 4-6 hours

**Tasks:**
- [ ] Create project structure
- [ ] Implement core WRDConfig class
- [ ] Implement WRDProject class
- [ ] Implement WRDManager class
- [ ] Create CLI interface with argparse
- [ ] Add basic error handling and logging

**Implementation Example:**
```bash
# Project setup
mkdir wrd-development
cd wrd-development
python3 -m venv venv
source venv/bin/activate

# Create package structure
mkdir -p wrd/{templates,configs}
touch wrd/__init__.py wrd/cli.py wrd/core.py
```

**Prompt for AI Assistant:**
```
Pomóż mi zaimplementować klasę WRDConfig:
- Powinna zarządzać konfiguracją w ~/.wrd/config.json
- Domyślna konfiguracja dla claude_code, gemini_cli, cursor
- Metody: load_config(), save_config(), ensure_directories()
- Obsługa błędów przy braku plików/katalogów
Użyj Python 3.8+, pathlib, json
```

**Success Criteria:**
- Podstawowe komendy działają: `wrd status`, `wrd create`, `wrd list`
- Konfiguracja zapisuje się i wczytuje poprawnie
- Testy jednostkowe przechodzą

---

### ✅ 1.3 Claude Code Integration Setup
**Priority:** HIGH | **Time:** 2-3 hours

**Tasks:**
- [ ] Install Claude Code CLI
- [ ] Configure API authentication
- [ ] Test basic Claude Code commands
- [ ] Create workspace integration
- [ ] Test SSH + Claude Code workflow

**Claude Code Setup:**
```bash
# Install Claude Code (follow official docs)
npm install -g @anthropic-ai/claude-code

# Configure authentication
export ANTHROPIC_API_KEY="your-key-here"
echo 'export ANTHROPIC_API_KEY="your-key-here"' >> ~/.bashrc

# Test installation
claude-code --version
claude-code --help
```

**SSH Remote Test:**
```bash
# From phone/remote device
ssh user@fedora-machine
cd ~/claude-projects
claude-code init test-remote
```

**Success Criteria:**
- Claude Code installed and authenticated
- Can run Claude Code locally and via SSH
- API key working, basic commands respond

---

## Phase 2: Core Implementation (Week 2)

### ✅ 2.1 Project Template System
**Priority:** HIGH | **Time:** 3-4 hours

**Tasks:**
- [ ] Create CLAUDE.md template generator
- [ ] Implement project type templates (python, fastapi, data, etc.)
- [ ] Add gitignore generation
- [ ] Create requirements.txt templates
- [ ] Implement README.md generation

**Template Implementation Prompt:**
```
Stwórz system szablonów dla WRD:
1. CLAUDE.md template z metadata projektu, strukturą, workflow notes
2. Szablony dla różnych typów projektów:
   - python: basic struktura, src/, tests/, requirements.txt
   - fastapi: API struktura, uvicorn, endpoints/
   - data: notebooks/, data/, analysis/, pandas/numpy requirements
   - rust: Cargo.toml, src/main.rs, basic structure
3. Dynamiczne .gitignore based on project type
4. Auto-generating README with project info

Use Jinja2 templates or f-strings, make it extensible
```

**Example Implementation:**
```python
# In wrd/templates.py
class TemplateManager:
    def generate_claude_md(self, project_name, project_type, description):
        template = f"""# Claude Code Project: {project_name}
        
## Project Overview
- **Name**: {project_name}
- **Type**: {project_type}
- **Description**: {description}
- **Created**: {datetime.now().strftime('%Y-%m-%d %H:%M')}

## Workflow Notes
### Session 1 ({datetime.now().strftime('%Y-%m-%d')})
- ✅ Project initialization
- ⏳ Core implementation

## Issues & Solutions
<!-- Auto-updated by WRD -->

## Performance Notes
<!-- Claude Code optimization notes -->
"""
        return template
```

**Success Criteria:**
- Templates generate correctly for all project types
- CLAUDE.md contains all necessary metadata
- Generated projects have proper structure

---

### ✅ 2.2 Automatic Documentation System
**Priority:** MEDIUM | **Time:** 4-5 hours

**Tasks:**
- [ ] Implement progress tracking in CLAUDE.md
- [ ] Auto-commit message generation
- [ ] Session time tracking (5h limit awareness)
- [ ] Error/solution logging
- [ ] Git integration for commit automation

**Progress Tracking Prompt:**
```
Implement automatic documentation system for WRD:
1. update_progress() method that appends entries to CLAUDE.md
2. Auto-generate commit messages based on changes
3. Track session time and warn about 5h Claude Code limit
4. Log errors and solutions automatically
5. Parse git diff for intelligent commit descriptions

Features:
- Timestamp all entries
- Categorize updates (progress, error, solution, optimization)
- Integration with git for auto-commits
- Session timer with notifications
```

**Implementation Example:**
```python
def auto_commit(self, project_name, message=None):
    """Smart commit with auto-generated message"""
    if not message:
        # Generate based on git diff
        diff = subprocess.run(['git', 'diff', '--cached'], 
                            capture_output=True, text=True)
        message = self._generate_commit_message(diff.stdout)
    
    # Commit with WRD metadata
    full_message = f"WRD: {message}\n\nAuto-generated by WRD at {datetime.now()}"
    subprocess.run(['git', 'commit', '-m', full_message])
    
    # Update CLAUDE.md
    self.update_progress(project_name, f"Commit: {message}", "git")
```

**Success Criteria:**
- Progress automatically updates in CLAUDE.md
- Smart commit messages generated
- Session timer works and warns at 4.5h mark
- All changes properly logged

---

### ✅ 2.3 Multi-Tool Integration
**Priority:** MEDIUM | **Time:** 3-4 hours

**Tasks:**
- [ ] Add Gemini CLI integration option
- [ ] Add Cursor IDE integration
- [ ] Create tool-switching logic
- [ ] Add configuration for tool priorities
- [ ] Test workflow between tools

**Multi-Tool Prompt:**
```
Create tool integration system for WRD:
1. Support for Claude Code (primary), Gemini CLI, Cursor
2. Tool priority system in config
3. Automatic tool detection and switching
4. Workflow coordination between tools:
   - Planning: Gemini 2.5 Pro (web) → specifications
   - Implementation: Claude Code → coding
   - Refactoring: Cursor → cleanup
5. Tool-specific command wrappers

Make it extensible for future AI tools
```

**Tool Integration Example:**
```python
class ToolManager:
    def __init__(self, config):
        self.tools = {
            'claude_code': ClaudeCodeTool(),
            'gemini_cli': GeminiCLITool(),
            'cursor': CursorTool()
        }
        self.priorities = config['ai_tools']
    
    def get_best_tool(self, task_type):
        """Select best tool for task type"""
        if task_type == 'implementation':
            return self.tools['claude_code']
        elif task_type == 'planning':
            return self.tools['gemini_cli']
        elif task_type == 'refactoring':
            return self.tools['cursor']
```

**Success Criteria:**
- Multiple tools can be configured and used
- Smooth switching between tools for different tasks
- Tool-specific optimizations work
- Unified logging across all tools

---

## Phase 3: Advanced Features (Week 3)

### ✅ 3.1 Cost Monitoring & Optimization
**Priority:** HIGH | **Time:** 2-3 hours

**Tasks:**
- [ ] Implement token usage tracking
- [ ] Cost estimation for projects
- [ ] Budget alerts and limits
- [ ] Usage analytics
- [ ] Optimization suggestions

**Cost Monitoring Prompt:**
```
Create cost monitoring system for Claude Code usage:
1. Track token usage per project and session
2. Estimate costs based on Anthropic pricing
3. Budget alerts when approaching limits
4. Daily/weekly/monthly usage reports
5. Suggestions for cost optimization:
   - Use Sonnet instead of Opus when possible
   - Batch similar requests
   - Optimize prompt lengths

Integration with WRD commands:
- wrd cost-status
- wrd cost-project project_name
- wrd cost-optimize
```

**Implementation Example:**
```python
class CostMonitor:
    def __init__(self):
        self.rates = {
            'sonnet-4': {'input': 3.0, 'output': 15.0},  # per million tokens
            'opus-4': {'input': 15.0, 'output': 75.0}
        }
    
    def estimate_cost(self, input_tokens, output_tokens, model='sonnet-4'):
        """Estimate cost for token usage"""
        rate = self.rates[model]
        input_cost = (input_tokens / 1_000_000) * rate['input']
        output_cost = (output_tokens / 1_000_000) * rate['output']
        return input_cost + output_cost
```

**Success Criteria:**
- Accurate cost tracking and estimation
- Budget alerts work correctly
- Useful optimization suggestions
- Clear cost reporting

---

### ✅ 3.2 Advanced Workflow Automation
**Priority:** MEDIUM | **Time:** 4-5 hours

**Tasks:**
- [ ] Implement session management (start/stop/resume)
- [ ] Auto-backup before critical operations
- [ ] Workflow templates for common scenarios
- [ ] Integration with cron for scheduled tasks
- [ ] Advanced git operations (branching, PRs)

**Workflow Automation Prompt:**
```
Create advanced workflow automation for WRD:
1. Session management:
   - Start session with timer
   - Auto-save progress every 30min
   - Resume interrupted sessions
   - Multi-session project tracking

2. Workflow templates:
   - "48h-contest": rapid development template
   - "research-project": long-term development
   - "tool-creation": utility development
   - "client-work": professional project structure

3. Automated operations:
   - Pre-commit hooks for documentation
   - Auto-backup before risky operations
   - Scheduled progress reports
   - Integration with external tools (Slack, email)

Make it highly configurable and extensible
```

**Session Management Example:**
```python
class SessionManager:
    def start_session(self, project_name, session_type="development"):
        """Start tracked development session"""
        session = {
            'project': project_name,
            'type': session_type,
            'start_time': datetime.now(),
            'budget_hours': 5,  # Claude Code limit
            'auto_save_interval': 1800  # 30 minutes
        }
        
        # Set up timer and auto-save
        self._setup_session_timer(session)
        self._setup_auto_save(session)
        
        self.current_session = session
        return session['id']
```

**Success Criteria:**
- Session management works reliably
- Workflow templates speed up project setup
- Automated operations run without manual intervention
- All automation is configurable

---

### ✅ 3.3 Advanced Git Integration
**Priority:** MEDIUM | **Time:** 2-3 hours

**Tasks:**
- [ ] Intelligent branch management
- [ ] Pull request automation
- [ ] Merge conflict resolution assistance
- [ ] Code review preparation
- [ ] Release management

**Git Integration Prompt:**
```
Enhance WRD with advanced Git capabilities:
1. Smart branching:
   - Auto-create feature branches
   - Naming conventions based on task type
   - Branch cleanup automation

2. PR/MR automation:
   - Generate PR descriptions from commit history
   - Auto-assign reviewers based on changed files
   - Template-based PR creation

3. Code review assistance:
   - Pre-review checklist generation
   - Code quality metrics
   - Documentation completeness check

4. Release management:
   - Version bumping
   - Changelog generation
   - Tag creation with metadata

Integration with Claude Code for automated code review
```

**Success Criteria:**
- Smart Git operations work correctly
- PR automation saves significant time
- Code review process is streamlined
- Release management is automated

---

## Phase 4: Polish & Distribution (Week 4)

### ✅ 4.1 Testing & Quality Assurance
**Priority:** HIGH | **Time:** 3-4 hours

**Tasks:**
- [ ] Write comprehensive unit tests
- [ ] Integration tests for tool interactions
- [ ] End-to-end workflow tests
- [ ] Performance testing
- [ ] Error handling validation

**Testing Prompt:**
```
Create comprehensive test suite for WRD:
1. Unit tests for all core classes
2. Integration tests for tool interactions
3. End-to-end tests for complete workflows
4. Mock Claude Code API for testing
5. Performance tests for large projects
6. Error scenarios and edge cases

Use pytest, mock external dependencies, test coverage >90%
```

**Test Example:**
```python
# tests/test_wrd_manager.py
import pytest
from wrd.core import WRDManager

def test_create_project():
    manager = WRDManager()
    result = manager.create_project("test-proj", "python", "Test project")
    assert result == True
    
    # Verify project structure
    project_dir = manager.config.projects_dir / "test-proj"
    assert project_dir.exists()
    assert (project_dir / "CLAUDE.md").exists()
    assert (project_dir / "src").exists()
```

**Success Criteria:**
- All tests pass consistently
- Test coverage above 90%
- Performance tests show acceptable speeds
- Error handling prevents crashes

---

### ✅ 4.2 Documentation & Examples
**Priority:** HIGH | **Time:** 4-5 hours

**Tasks:**
- [ ] Complete README with examples
- [ ] API documentation
- [ ] Tutorial walkthroughs
- [ ] Video demos (optional)
- [ ] Troubleshooting guide

**Documentation Prompt:**
```
Create comprehensive documentation for WRD:
1. User guide with step-by-step tutorials
2. API reference for all classes and methods
3. Example workflows for different scenarios
4. Troubleshooting common issues
5. Best practices guide
6. Integration examples with Claude Code

Make it beginner-friendly but comprehensive for advanced users
Use Sphinx or mkdocs for professional documentation
```

**Documentation Structure:**
```
docs/
├── index.md              # Overview
├── installation.md       # Setup guide
├── quickstart.md         # First steps
├── tutorials/            # Step-by-step guides
│   ├── 48h-contest.md   # Rapid development
│   ├── long-term.md     # Extended projects
│   └── remote-work.md   # SSH workflows
├── api/                 # API reference
├── examples/            # Code examples
└── troubleshooting.md   # Common issues
```

**Success Criteria:**
- Complete documentation covers all features
- Examples work and are up-to-date
- Troubleshooting guide addresses common issues
- Documentation is accessible to beginners

---

### ✅ 4.3 Package Distribution
**Priority:** MEDIUM | **Time:** 2-3 hours

**Tasks:**
- [ ] Prepare package for PyPI
- [ ] Create distribution scripts
- [ ] Set up CI/CD pipeline
- [ ] Version management system
- [ ] Release automation

**Distribution Prompt:**
```
Prepare WRD for distribution:
1. Setup.py and pyproject.toml configuration
2. PyPI package preparation and upload
3. GitHub Actions for CI/CD
4. Automated testing on multiple Python versions
5. Version management with semantic versioning
6. Release notes generation

Include installation verification and basic smoke tests
```

**CI/CD Example:**
```yaml
# .github/workflows/test.yml
name: Test WRD
on: [push, pull_request]
jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [3.8, 3.9, 3.10, 3.11]
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install dependencies
        run: |
          pip install -e .
          pip install pytest
      - name: Run tests
        run: pytest
```

**Success Criteria:**
- Package installs correctly via pip
- CI/CD pipeline works reliably
- Automated releases to PyPI
- Version management works correctly

---

## Phase 5: Real-World Testing (Week 5)

### ✅ 5.1 Dogfooding & User Testing
**Priority:** HIGH | **Time:** Full week

**Tasks:**
- [ ] Use WRD for real projects
- [ ] Test 48h contest scenario
- [ ] Test long-term project workflow
- [ ] Remote work testing (SSH + phone)
- [ ] Performance under real load
- [ ] User feedback collection

**Real-World Testing Scenarios:**

**Scenario 1: 48H Contest Simulation**
```bash
# Day 1 Evening - Setup
wrd create contest-app fastapi "Competition submission app"
cd ~/claude-projects/contest-app

# Plan in Claude.ai web → copy spec to CLAUDE.md
# Session 1 (5h): Basic structure
claude-code dev
wrd progress contest-app "Day 1: Basic API structure complete"

# Day 2 Morning - Session 2 (5h): Core features
wrd session-start contest-app development
claude-code dev
wrd progress contest-app "Day 2 AM: Core features implemented"

# Day 2 Evening - Session 3 (3h): Polish & deploy
wrd session-start contest-app finalization
claude-code dev
wrd progress contest-app "Contest submission ready!"
wrd backup
```

**Scenario 2: Remote Work from Phone**
```bash
# SSH from phone/Termux
ssh user@fedora-machine
wrd status
cd ~/claude-projects/current-project
wrd session-resume current-project
claude-code --continue

# Make quick changes, document progress
wrd progress current-project "Fixed bug while commuting"
wrd commit current-project "Mobile hotfix: authentication issue"
```

**Scenario 3: Long-term Tool Development**
```bash
# Week 1: Initial development
wrd create my-cli-tool python "Personal automation CLI"
# ... development sessions ...
wrd progress my-cli-tool "Week 1: Core functionality"

# Week 2: Features
wrd progress my-cli-tool "Week 2: Added config system, plugins"

# Week 3: Polish & testing
wrd progress my-cli-tool "Week 3: Tests, documentation, packaging"
wrd cost-report my-cli-tool  # Check cost efficiency
```

**Success Criteria:**
- All scenarios work smoothly end-to-end
- Performance is acceptable under real load
- Remote access works reliably
- Cost estimates are accurate
- User experience is smooth

---

### ✅ 5.2 Performance Optimization
**Priority:** MEDIUM | **Time:** 2-3 hours

**Tasks:**
- [ ] Profile performance bottlenecks
- [ ] Optimize slow operations
- [ ] Reduce memory usage
- [ ] Improve startup time
- [ ] Cache frequently accessed data

**Optimization Areas:**
- Git operations speed
- File I/O efficiency
- Template generation speed
- Configuration loading
- Large project handling

**Success Criteria:**
- Startup time under 1 second
- Git operations complete quickly
- Memory usage stays reasonable
- Large projects (1000+ files) handled well

---

### ✅ 5.3 Bug Fixes & Refinements
**Priority:** HIGH | **Time:** Ongoing

**Tasks:**
- [ ] Fix discovered bugs
- [ ] Improve error messages
- [ ] Refine user interface
- [ ] Add missing features found during testing
- [ ] Optimize based on real usage patterns

**Common Issues to Address:**
- Path handling edge cases
- Git repository states
- Configuration conflicts
- Network connectivity issues
- Permission problems

**Success Criteria:**
- All critical bugs fixed
- Error messages are helpful
- Edge cases handled gracefully
- User experience is polished

---

## Implementation Prompts for AI Assistants

### For Core Development:
```
I'm implementing WRD (Word), a workflow tool for Claude Code on Fedora. 
Help me create [specific component] with these requirements:
- [List specific requirements]
- Error handling and logging
- Python 3.8+ compatibility
- Integration with [other components]
- Following the architecture: [describe architecture]

Provide complete, production-ready code with tests.
```

### For Integration Tasks:
```
Help me integrate WRD with [Claude Code/Gemini CLI/Cursor]:
- Wrapper classes for tool interaction
- Error handling for tool-specific issues
- Configuration management
- Workflow coordination between tools
- Testing without actual tool dependencies

Show complete integration code with examples.
```

### For Testing:
```
Create comprehensive test suite for WRD component [name]:
- Unit tests with mocks for external dependencies
- Integration tests for real workflows
- Edge case handling
- Performance tests
- Error scenario coverage

Use pytest, include fixtures and parametrized tests.
```

---

## Success Metrics

### Technical Metrics:
- [ ] 100% core functionality working
- [ ] >90% test coverage
- [ ] <1s startup time
- [ ] Works with Python 3.8-3.11
- [ ] Cross-platform compatibility (Linux focus)

### User Experience Metrics:
- [ ] 48h contest workflow takes <30min to setup
- [ ] Remote SSH workflow is seamless
- [ ] Cost monitoring is accurate within 5%
- [ ] Documentation answers 95% of questions
- [ ] Installation success rate >95%

### Performance Metrics:
- [ ] Large projects (1000+ files) load in <5s
- [ ] Git operations complete in <2s
- [ ] Memory usage <100MB for typical projects
- [ ] CPU usage minimal during idle

---

## Risk Mitigation

### Technical Risks:
- **Claude Code API changes**: Monitor Anthropic updates, maintain compatibility layer
- **Git repository corruption**: Implement robust backup and recovery
- **Performance issues**: Profile early, optimize incrementally
- **Cross-platform issues**: Test on multiple distributions

### User Adoption Risks:
- **Learning curve**: Create excellent tutorials and examples
- **Feature complexity**: Keep core features simple, advanced features optional
- **Documentation gap**: Maintain comprehensive, up-to-date docs
- **Tool dependency**: Ensure WRD provides value even without Claude Code

---

*This TODO list is designed for iterative implementation with AI assistance. Each phase builds on the previous one, allowing for testing and refinement throughout the process.*