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Serverless Development Patterns

Accelerate serverless development with Cursor IDE and Claude Code. These patterns cover AWS Lambda, Vercel, Cloudflare Workers, event-driven architectures, and cloud-native best practices optimized for AI-assisted development.

  1. Open Cursor in your workspace
  2. Launch Agent mode (Cmd/Ctrl + I)
  3. Prompt: “Create serverless project with:
    • AWS Lambda functions
    • API Gateway integration
    • DynamoDB tables
    • CloudFormation/SAM
    • TypeScript support
    • Local development setup”
  4. Agent sets up complete serverless environment
// Lambda function prompt:
"Create Lambda function for image processing:
- S3 trigger for uploads
- Image resizing with Sharp
- Multiple output formats
- Error handling and retries
- CloudWatch logging
- X-Ray tracing"
// Generated structure:
functions/
imageProcessor/
handler.ts
config.yml
tests/
shared/
utils/
types/

Cold Start Optimization

// Prompt: "Optimize Lambda cold starts:
// - Minimize bundle size
// - Lazy loading
// - Connection pooling
// - Provisioned concurrency"

Error Handling

// Prompt: "Add Lambda error handling:
// - Dead letter queues
// - Retry policies
// - Circuit breakers
// - Graceful degradation"
// Vercel Edge function prompt:
"Create Vercel Edge function for:
- Geographic routing
- A/B testing
- Request transformation
- Authentication at edge
- Response caching
- Streaming responses"
// Next.js API route:
"Create API route with:
- Request validation
- Database connection
- Rate limiting
- CORS handling
- Error responses"
// Cloudflare Worker prompt:
"Create Worker for API gateway:
- Request routing
- Authentication
- Rate limiting with Durable Objects
- Cache API usage
- KV storage integration
- R2 bucket access"
  1. Design State: “Create Durable Object for WebSocket rooms”
  2. Implement Logic: “Add room management and messaging”
  3. Scale Strategy: “Configure geographic distribution”
  4. Monitor: “Add analytics and debugging”
// Event-driven prompt:
"Design event processing system with:
- SNS/SQS integration
- Event routing rules
- Schema validation
- Dead letter handling
- Event replay capability
- Monitoring and alerting"

Event Sourcing

Implement with AI:

  • Event store design
  • Event versioning
  • Projection building
  • Snapshot creation
  • Event replay logic
// DynamoDB design prompt:
"Design DynamoDB schema for:
- Single table design
- GSI optimization
- Composite keys
- Transactions
- Streams processing
- Auto-scaling"
-- Aurora Serverless:
"Configure Aurora Serverless v2:
- Connection pooling
- Data API usage
- Scaling policies
- Backup strategies"