Reimagine your mainframe applications with Agentic AI and AWS Transform

This article explains AWS's approach to modernizing legacy mainframe applications using agentic AI and the "reimagine" pattern, which transforms monolithic COBOL applications into cloud-native microservices.

• AWS Transform for mainframe uses AI to reverse-engineer COBOL code and extract business logic automatically
• Reimagine pattern involves three phases: reverse engineering, forward engineering, and deploy/test
• Strangler Fig pattern enables progressive modernization by gradually replacing monolithic apps with microservices
• Kiro AI agent generates microservice specifications, database schemas, and production-ready source code
• "Human in the loop" validation ensures AI-generated code meets business requirements and architectural standards
• AWS Transform analyzes mainframe data models, activity metrics, and SMF records for informed modernization decisions
• Generated infrastructure uses CloudFormation, CDK, or Terraform for cloud-native deployment on AWS
• AWS partners with GSIs and technology partners to provide specialized modernization expertise and tools

AWS Transform accelerates mainframe modernization by combining AI-powered code analysis with human expert validation, enabling organizations to transform legacy systems into modern, scalable cloud architectures.