Tackling large mainframe portfolio with Agentic AI and AWS Transform
Migration and Modernization Blog
This article explains how to modernize large mainframe applications using AWS Transform with agentic AI, focusing on decomposition strategies and modernization patterns.
- Break large codebases (10M+ LOC) into manageable domains before modernization
- Use SME knowledge, naming conventions, or partner tools to identify logical boundaries
- AWS Transform's dependency graph and business logic extraction enable further decomposition
- Three modernization paths: Reimagine (rebuild with AI), Refactor (convert to Java), Replatform (cloud COBOL)
- Phased approach compresses multi-year projects into months using AI-powered analysis
- Domain decomposition by business capability, subdomain, module prefix, or modality (batch/online)
Successful mainframe modernization requires systematic assessment, dependency analysis, and strategic decomposition before selecting appropriate modernization patterns for each domain.
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