Utilize Amazon Q for automating and accelerating code translation processes

I want to share how we transformed what could have been a months-long infrastructure migration nightmare into an automated success story. When faced with converting our entire CDK construct library, including complex modules like our SNS/RDS/Others implementation with sophisticated IAM policies , along with encryption standards and organizational compliance requirements to Terraform, we knew traditional manual translation would be both time-consuming and error prone. Our SNS construct alone contained intricate JSON condition blocks, KMS encryption configurations, and VPC endpoint restrictions that would typically require weeks of careful manual conversion and extensive testing. Instead of accepting this challenge as inevitable, we leveraged the full power of Amazon Q’s ecosystem to revolutionize our approach. We combined Q Chat for intelligent code analysis and generation, MCP servers for real-time access to AWS and Terraform Knowledge, Q CLI for automated batch processing of multiple constructs, and shell script integration for seamless end-to-end workflow automation. The result was remarkable: we preserved every security policy detail, maintained almost 100% feature parity including all complex IAM conditions and encryption configurations, and completed our entire migration in days rather than weeks, all while ensuring our organization specific compliance remained intact and our production-ready Terraform modules were generated with the same security posture we had carefully crafted in our original CDK implementations.