AWS Transform
AI agents for migrating and modernizing enterprise workloads and reducing tech debt
- Tool type
- Agentic enterprise IT transformation workbench
- Made for
- Enterprise IT, application, and developer teams
- Runs on
- Web, IDE, CLI and MCP
- Web console for managing transformations; agents are also reachable from Kiro, Claude, Cursor, Codex, a Visual Studio extension, and an MCP server.
What it does
AWS Transform is an agentic workbench for enterprise IT teams. Teams feed it workloads and codebases, including VMware and bare-metal environments, Windows and mainframe applications, and custom code, APIs, and frameworks. It returns analysis, migration plans, converted code and infrastructure, and remediation changes, along with documentation of its work.
Teams typically start a transformation in the AWS Transform web experience, where shared workspaces and natural-language chat let cross-functional members track it end to end. Developers can also drive transformations from Kiro, Claude, Cursor, or Codex through a Kiro power, agent plugins, or the AWS Transform MCP server, and a Visual Studio extension is offered for .NET work. Continuous modernization runs analyses and remediations on repositories over time.
AWS Transform suits enterprise IT, application, and platform teams handling large migrations or legacy estates. Access requires an AWS account and sign-in. Usage of the custom agent is metered per agent minute, and some modernization work may move to paid features in future. Continuous modernization is labeled Preview on the homepage, and outputs still need engineering review and testing.
What it can do
- Migrate VMware and bare-metal infrastructure workloads, including discovery, wave planning, network conversion, and cutover
- Modernize Windows and .NET applications, including SQL Server databases and deployment processes
- Modernize mainframe applications, from assessment and planning through code refactoring and requirements extraction
- Run custom code transformations such as Java, Node.js, and Python upgrades and organization-specific version or runtime changes
- Continuously analyze and remediate tech debt such as end-of-life dependencies, outdated frameworks, and security vulnerabilities across repositories (Preview)
- Migrate AI workloads from OpenAI, Gemini, and Anthropic to Amazon Bedrock, and block storage to Amazon FSx for NetApp ONTAP
Works with
- Kiro (Kiro power)
- Claude
- Cursor
- Codex
- Model Context Protocol (MCP) server
- Visual Studio extension (VSIX)
- AWS Budgets
- AWS Security Agent (used for security analysis in continuous modernization)
- Amazon Bedrock (migration target)
- Amazon FSx for NetApp ONTAP (migration target)
Example workflows
- Mainframe assessment to requirements in an IDE
- Input: a mainframe portfolio. Steps: the assessment analyzes the portfolio and maps business functions; the reimagine workflow extracts business rules with traceability; requirements flow to Kiro or another IDE through MCP. Output: a prioritized modernization plan and requirements traceable to source code.
- Custom language version upgrade
- Input: a Java, Node.js, or Python codebase and an upgrade target. Steps: the custom agent plans and applies the transformation, uses builds and tests to validate results, and reports progress in the web console or IDE. Output: transformed code, with agent minutes metered for active agent work.
Before you choose
- Custom transformation and continuous modernization are metered per agent minute; set AWS Budgets limits to control spend, and note that agent minutes accrue regardless of whether the output builds
- Continuous modernization is labeled Preview; security analysis additionally incurs AWS Security Agent charges, and resources you create in your AWS account from the output are billed at standard rates
- Transformation outputs require engineering review, build, and testing; AWS Transform can leave partially complete code when a transformation cannot be validated
Listed under
Get started
Sign in to the AWS Transform web experience, which requires an AWS account.
- Sign in to the AWS Transform web experience with an AWS account at https://console.aws.amazon.com/transform/home
- Choose the transformation type (migration, Windows, mainframe, or custom) and connect the source workloads or repositories
- For IDE use, connect Kiro, Claude, Cursor, or Codex via the Kiro power, agent plugins, or the AWS Transform MCP server, or install the Visual Studio extension for .NET work
Plans and prices
Prices in USDCustom agent is $0.035 per agent minute, billed in 1-minute increments, for active agent work only (not idle time or client-side builds and tests). The AWS-managed .NET allowance is a monthly quota; unused minutes do not carry over. Security analysis under continuous modernization is billed separately by AWS Security Agent. Resources created from transformation output are billed at standard AWS rates.
- Agent minutes for active agent work
- Continual learning and campaign management included
- Up to 50,000 agent minutes per month at no additional charge
- Unused minutes do not carry over; quota adjustments may be considered
Source: aws.amazon.com/transform/pricing, checked 28 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 28 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Smash tech debt and get AI ready – AWS Transform – AWS ↗aws.amazon.com
- Pricing – AWS Transform – AWS ↗aws.amazon.com
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Last checked 28 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.