Command Generation

# Generate dx config from natural language
dx ai generate --prompt "I need commands to build Rust project, run tests, and deploy to staging"

items:
  - name: "Build Project"
    alias: "build"
    description: "Build Rust project in release mode"
    cmd: "cargo build --release"
    
  - name: "Run Tests"
    alias: "test"  
    description: "Execute all test suites"
    cmd: "cargo test"
    
  - name: "Deploy to Staging"
    alias: "deploy"
    description: "Deploy application to staging environment" 
    cmd: "kubectl apply -f k8s/staging/"

# AI analyzes your project and suggests workflow
dx ai analyze

# Provide specific context for better results
dx ai generate --prompt "
Node.js project with TypeScript
Uses Jest for testing  
Deploys to Vercel
Has linting with ESLint
Needs database migrations
"

items:
  - name: "Development"
    description: "Development workflow commands"
    
    children:
      - name: "Install Dependencies"
        alias: "install"
        cmd: "npm install"
        
      - name: "Start Development Server"
        alias: "dev"
        cmd: "npm run dev"
        external: true
        
      - name: "Build Production"
        alias: "build"  
        cmd: "npm run build"
        
  - name: "Quality Assurance"
    description: "Testing and code quality"
    
    children:
      - name: "Run Tests"
        alias: "test"
        cmd: "npm run test"
        
      - name: "Lint Code"  
        alias: "lint"
        cmd: "npm run lint"
        
      - name: "Type Check"
        alias: "typecheck"
        cmd: "npm run type-check"
        
  - name: "Database"
    description: "Database operations"
    
    children:
      - name: "Run Migrations"
        alias: "migrate"
        cmd: "npm run migrate"
        
      - name: "Seed Database"
        alias: "seed"
        cmd: "npm run seed"
        
  - name: "Deployment"
    description: "Deploy to Vercel"
    alias: "deploy"
    cmd: "vercel --prod"
    external: true

# config.toml
[ai]
provider = "openai"
api_key = "${OPENAI_API_KEY}"
model = "gpt-4"

[ai]
provider = "anthropic"
api_key = "${ANTHROPIC_API_KEY}"
model = "claude-3-sonnet-20240229"

[ai]
provider = "local"
endpoint = "http://localhost:11434"  # Ollama
model = "codellama:7b"

# Interactive prompt builder
dx ai generate --interactive

# AI asks clarifying questions:
# "What type of project is this?"
# "What deployment platform do you use?"
# "Do you need database commands?"
# "What testing framework?"

# Use pre-built templates with customization
dx ai template web-app --framework react --database postgres

# Templates available:
# web-app, api-service, cli-tool, library, mobile-app

# Add new commands to existing config
dx ai extend --prompt "Add Docker commands for containerized deployment"

# AI intelligently merges with existing dx.yaml

# ✅ Good - Specific with context
dx ai generate --prompt "
Python FastAPI service
PostgreSQL database with Alembic migrations  
Docker deployment to AWS ECS
Uses pytest for testing
GitHub Actions for CI/CD
"

# ✅ Good - Workflow focused  
dx ai generate --prompt "
I need commands for:
- Building and testing React app
- Running Storybook for components
- Deploying to Netlify  
- Managing environment configs
"

# Local generation (no data sent to external AI)
dx ai generate --local --prompt "Add build commands for Rust project"

# Prompt sanitization (removes sensitive info)  
dx ai generate --sanitize --prompt "Add deploy to prod with secret key abc123"
# AI receives: "Add deploy to prod with [REDACTED]"

dx ai generate --prompt "
Generate CI/CD workflow:
- Run on every PR to main
- Build, test, security scan  
- Deploy to staging on merge
- Manual production deployment
"

# Generate onboarding menu for new developers
dx ai template onboarding --team-size large --project backend-api

# Convert existing scripts to dx format
dx ai migrate --scripts ./scripts/ --include-makefiles