AWS Transform
Agentic modernization of mainframe, VMware, Windows, and legacy code—reducing tech debt and making your stack AI-ready
Accelerate enterprise modernization with agentic AI
AWS Transform is a collaborative enterprise IT transformation workbench powered by expert agents, agentic AI systems, and continuous learning that accelerates cloud migration, legacy application modernization, and tech debt reduction. It offers purpose-built transformations for mainframe, VMware, and Windows workloads, and automates code modernization at scale, from version and framework upgrades to fully custom, organization-specific transformations. By automating complex tasks like assessments, code analysis, refactoring, dependency mapping, and transformation planning, AWS Transform dramatically reduces project timelines and costs. Its shared workspaces and natural language chat experience enable cross-functional teams to collaborate in real time, track progress, and manage transformations from start to finish.
Modernize faster, at scale, and across the enterprise
In only twelve months, AWS Transform has migrated tens of thousands of VMs and processed over 4.5 billion lines of code, saved 1.69 million hours of manual effort, delivering proven results across mainframe, Windows/.NET, infrastructure, and custom code modernization. Dozens of specialized AI agents, connected through agentic workflows, bring two decades of migration expertise to every workload, accessible from your IDE, Kiro, CLI, or the console. See what customers accomplished and what's coming next.
Benefits
Modernize Windows, mainframe, and VMware applications up to 5x faster with agentic AI–powered automation of analysis, planning, documentation, and transformation tasks.
Scale modernization initiatives, transforming hundreds of applications in parallel. AWS Transform automates high-effort, repeatable tasks, so teams can deliver larger, more complex projects faster and with ease.
Reduce legacy infrastructure, licensing, and modernization costs on your path to the cloud. AWS Transform helps remove costly overhead and streamlines modernization with agentic AI.
Achieve consistent, reliable modernization using AI agents built on 20 years of AWS migration and modernization experience and deep knowledge across Windows, mainframe, VMware workloads, as well as custom transformations for code, APIs, frameworks, etc.
Impact by the numbers
lines of code analyzed by customers.
Up to 5x faster full-stack Windows modernization including .NET and SQL Server.
Latest innovations
Use AWS Transform from your preferred tools
AWS Transform now supports MCP (Model Context Protocol), letting you invoke transformation capabilities directly from your orchestrators, IDEs, and coding environments. Switch between the web app and your preferred tools while maintaining full context throughout your work.
Kiro, Claude, Cursor, Codex: Pre-built playbooks and individual tasks
The new Kiro power and agent plugin for AWS Transform gives you both pre-defined playbooks for common scenarios and the ability to execute individual tasks. Start a job through Kiro or CLI, check status in the web console, complete transformations from your IDE-mix and match however works best for your workflow.
End-to-end agentic migrations to AWS
AWS Transform brings together specialized AI agents, human teams, and partner workflows to automate the complete migration lifecycle - from discovery and assessment through planning, network conversion, and cutover. Whether you're running VMware, bare metal, Hyper-V, or databases, get comprehensive TCO projections in minutes, intelligently optimized migration waves, automated landing zone creation, and flexible execution paths to rehost or replatform to containers - all from one collaborative workbench.
Extend AWS Transform with custom agents
Build agents tailored to your specific transformation needs using the Kiro Power to combine your customized workflows with the AWS Transform base agent and SDK. Create specialized workflows that combine AWS managed agents with your own transformation logic, all integrated into AWS Transform.
Web to IDE integration
Start AWS Transform modernization jobs in the web console, then hand off to developer IDEs (such as VS Code or Kiro IDE) for human-in-the-loop (HITL) edits, debugging, and refinement. Developers continue modernization tasks in the tools they already use - no context switching, no starting over. Includes matching the multi-agent orchestration already in place for IDE in the web console experience.
Use cases
AWS Transform for migrations accelerates enterprise cloud migrations with purpose-built AI agents that automate the entire lifecycle—from discovery and wave planning through network conversion and cutover. By unifying teams, tools, and workflows in a single collaborative workbench, migrations that once took years now complete in months.
AWS Transform accelerates full-stack Windows modernization by up to 5x across application, UI framework, database, and deployment layers. Using the specialized Windows modernization agent, teams can accelerate modernization of .NET applications, SQL Server databases, and deployment processes, reducing operating costs by up to 70% by moving away from costly licenses.
AWS Transform accelerates mainframe application modernization from years to months. The specialized mainframe agent streamlines the entire mainframe workload transformation process—from initial analysis and planning to code refactoring and application reimagining—accelerating modernization timelines and reducing risk and costs.
AWS Transform accelerates organization-wide modernization through agentic AI that automates custom code transformations. It provides out-of-the-box transformations for common scenarios like Java, Node.js and Python upgrades. The agent also performs custom, organization-specific transformations like version upgrades, runtime migrations, or complex language translations and architectural changes. Through continual learning from code samples, documentation, and developer feedback, the agent delivers high-quality, repeatable transformations without requiring specialized automation expertise, enabling organizations to scale their modernization initiatives effectively.
