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aws-transform Claude Code Plugin

Author
Amazon Web Services
Category
Migration
Topics
Migration & Modernization · Cloud, Deployment & CI/CD · Databases & Storage
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-08-13 (UTC)
Source (GitHub) last updated
2026-08-20 (UTC) (7 days ago)

The explanation below is AI-generated. Please verify it against the sources.

The aws-transform plugin brings AWS Transform's code and infrastructure modernization workflow into AI coding agents, covering assessment, planning, execution, and validation of migrations such as . NET Framework to . It also supports continuous analysis of codebases for outdated dependencies, frameworks, and security issues, with remediation guidance. The plugin exposes one skill covering these transformation tasks and relies on an MCP server that manages workspaces, jobs, agents, human-in-the-loop tasks, and authentication. Using it requires AWS credentials via SigV4 or an IAM Identity Center session, and custom transformations additionally require the AWS Transform command-line tool. Example use cases listed in the README include upgrading Java or Python codebases and converting SQL Server databases to Aurora PostgreSQL.

About the service

AWS Transform is an AWS cloud service for migrating and modernizing enterprise workloads using AI agents. According to the homepage, it handles infrastructure migration, modernization of Windows, mainframe, and VMware applications, and ongoing tech debt remediation across an organization's codebases, and it can be accessed either through its web console or through this plugin from within an AI coding agent.

What you can do with aws-transform

  • Assess codebases for tech debt, security issues, and modernization opportunities
  • Migrate .NET Framework applications to .NET 8/10
  • Convert mainframe COBOL code to Java
  • Move VMware virtual machines to Amazon EC2
  • Migrate SQL Server, Oracle, or MySQL databases to Amazon Aurora
  • Upgrade Java, Python, or Node.js versions and AWS SDKs
  • Define and run custom transformations using the AWS Transform CLI

Sources

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