"AWS Transform custom uses agentic AI to perform large-scale modernization of software, code, libraries, and frameworks to reduce technical debt. It handles diverse scenarios including language version upgrades, API and service migrations, framework upgrades and migrations, code refactoring, and organization-specific transformations. Through continual learning, the agent improves from every execution and developer feedback, delivering high-quality, repeatable transformations without requiring specialized automation expertise."
"Running it at enterprise scale requires a solution to process repositories in parallel, in a controlled remote cloud environment, manage credentials securely, and provide visibility into transformation progress. Today, we're introducing an open-source solution that brings production-grade scalability, reliability, and monitoring to AWS Transform custom. This infrastructure enables you to run transformations on thousands of repositories in parallel using AWS Batch and AWS Fargate, with REST API access for programmatic control and comprehensive Amazon CloudWatch monitoring."
AWS Transform custom applies agentic AI to modernize software, code, libraries, and frameworks at scale, reducing technical debt through repeatable transformations. The agent supports language version upgrades, API and service migrations, framework upgrades and migrations, code refactoring, and organization-specific transformations. The agent learns from executions and developer feedback to improve outcomes without requiring specialized automation expertise. Enterprises need the ability to run transformations concurrently across thousands of repositories and to provide dedicated compute for long-running tasks. An open-source infrastructure enables enterprise-scale execution by orchestrating parallel runs with AWS Batch and AWS Fargate, exposing REST APIs for control and using Amazon CloudWatch for monitoring.
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