Consistent Code Modernization at Scale with AWS Transform Custom Knowledge Items

This article explains how AWS Transform Custom automates code modernization at scale using agentic AI and reusable knowledge items that improve with each execution.

• AWS Transform Custom automates Java upgrades, framework migrations, and dependency updates across repositories
• Knowledge items capture patterns, fixes, and edge cases from each transformation run automatically
• Transformation Definitions (TDs) are reusable recipes defining what to transform and how to do it
• First run on Java 8 to 26 upgrade made 14 coordinated changes with full build and test verification
• System discovered Mockito ByteBuddy incompatibility and Spring Boot ASM issues, captured as disabled knowledge items
• Enabling knowledge items makes subsequent runs faster by applying fixes proactively before tests run
• Scale execution across hundreds of repos using bash automation or AWS Batch container-based approaches
• Each repo run contributes new learnings, creating a continuous improvement flywheel across your portfolio

AWS Transform Custom enables consistent, automated code modernization at scale by learning from each transformation and applying accumulated knowledge to future runs.