I designed this co-sell motion to show how Cursor's agent supercharges AWS modernization, automating the decomposition from monolith to production-ready microservices and infrastructure code.
Cursor maximizes ROI from AWS investments by automating the hardest part of cloud migration. Scalable across any AWS enterprise customer.
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A single, tightly-coupled application handles everything. Every module lives in one deployable unit, making scaling and independent releases impossible.
High
Deployment Risk
One change redeploys everything
Vertical Only
Scaling
Cannot scale modules independently
Slowing
Team Velocity
Teams blocked by shared codebase
Cursor scans the entire monolith, maps cross-module dependencies, and identifies optimal service boundaries for extraction.
Scanning codebase
312 files analyzed across 5 modules
Mapping dependencies
26 cross-module interfaces found
Identifying boundaries
Service boundaries detected
Extraction plan ready
4-phase migration recommended
Cursor extracts each module into an independent microservice with its own data store, API contracts, and AWS deployment target.
Amazon API Gateway
Routes traffic to individual services
Auth Service
Amazon Cognito + ECS
23 files extracted
Payment Service
ECS Fargate + RDS
41 files extracted
Order Service
ECS Fargate + DynamoDB
38 files extracted
Inventory Service
ECS Fargate + RDS
29 files extracted
Notification Service
Lambda + SQS + SES
18 files extracted
Service Communication Map
Cursor generates production-ready Terraform for ECS tasks, API Gateway routes, RDS instances, and all supporting infrastructure.
+resource "aws_ecs_service" "order_service" {+name = "order-service"+cluster = aws_ecs_cluster.main.id+task_definition = aws_ecs_task_definition.order.arn+desired_count = 3++load_balancer {+target_group_arn = aws_lb_target_group.order.arn+container_name = "order-service"+container_port = 8080+}++network_configuration {+subnets = var.private_subnets+security_groups = [aws_security_group.ecs.id]+}+}
Cursor analyzes the full codebase to identify clean service boundaries, minimizing cross-service coupling and data dependencies.
Generated Terraform and CDK code follows AWS best practices with proper security groups, IAM roles, and multi-AZ deployments.
What traditionally takes quarters of engineering work is reduced to weeks with AI-assisted code extraction and infrastructure generation.
Lines Refactored
Services Extracted
Terraform Resources
Weeks Saved
Faster Migration Timeline
When AWS infrastructure expertise meets AI-powered code refactoring, enterprise modernization projects that once took quarters now complete in weeks.