AWS Transform
Get modern. Stay modern: reduce technical debt and get AI-ready.
Accelerate enterprise modernization with agentic AI
Enterprise transformation rarely ends with a single project. Infrastructure must move off legacy platforms, decades-old applications need modernizing, and technical debt keeps growing as AI speeds up code creation. Legacy systems are risky to change, so many programs stall or stretch into years.
AWS Transform uses agentic AI to accelerate and de-risk each stage of that journey. It modernizes infrastructure, transforms applications such as mainframe and Windows, and continuously fixes technical debt across your portfolio, so your teams spend less time maintaining legacy systems and more time on innovation.
Build what's next at AWS re:Invent 2026
See AWS Transform in action. Smash tech debt and get AI-ready with agentic modernization. Explore over 200 migration and modernization sessions.
Nov. 30 – Dec. 4, Las Vegas
Capabilities for every stage of your journey
Modernize infrastructure
Move legacy infrastructure to AWS faster with cloud migration.
Modernize continuously
Reduce technical debt and get AI-ready with continuous modernization.
Benefits
Modernize infrastructure, transform applications, and continuously reduce technical debt. AWS Transform automates the heavy lifting, so projects move faster and engineers get time back to focus on innovation.
Run migration and modernization projects across your entire portfolio in parallel, from thousands of servers to hundreds of applications. AWS Transform automates high-effort, repeatable tasks, so teams can take on large, complex programs without adding manual effort.
Exit legacy licensing, retire aging infrastructure, and reduce the manual effort that drives up the cost of modernization. AWS Transform streamlines each project so more of your budget goes to what comes next.
Legacy systems are difficult to understand, risky to change, and expensive to validate. AWS Transform analyzes code at the structural level, traces changes from source to target, and keeps your teams in control with human review at each step. It is built on two decades of AWS migration and modernization experience.
Turn reactive maintenance into proactive modernization. AWS Transform continuously finds and fixes end-of-life dependencies, outdated frameworks, and security vulnerabilities, so platform engineering teams stay ahead of technical debt and keep codebases AI-ready.
Impact by the numbers
- hours of manual effort - equivalent of 1,674 developer years of work saved.
-
3,500,000
- lines of code analyzed by customers.
- 15B
- Up to 5x faster full-stack Windows modernization including .NET and SQL Server.
- 5x
Latest innovations
Continuous tech debt analysis and remediation at scale
Turn reactive, manual software maintenance into proactive, continuous modernization. AWS Transform continuous modernization shifts code transformation from periodic projects into an always-on, autonomous practice, evolving your pipeline toward CI/CD/CM (continuous modernization). Get full visibility into tech debt across thousands of repositories and autonomously detect, prioritize, remediate, and document common findings like end-of-life dependencies, outdated frameworks, and security vulnerabilities. Replace recurring fire drills with steady, measurable progress at scale.
Mainframe assessments, traceable code generation, and native Kiro integration
AWS Transform for mainframe now delivers a connected experience from assessment through code generation, compressing months of discovery into hours of evidence-based decision making. Assessment analyzes your entire mainframe portfolio, deterministically maps business functions, and recommends a prioritized modernization plan with a clear starting point. The reimagine workflow extracts every business rule with full traceability, then flows requirements directly into Kiro and other IDEs through MCP integration, with every requirement traceable back to the source code and no manual handoffs between phases.
Migrate AI workloads from OpenAI, Gemini, and Anthropic to Amazon Bedrock
AWS Transform now includes a model-to-model migration assessment that scans your codebases, identifies AI provider dependencies, and produces a comprehensive migration plan to Amazon Bedrock. The agent maps your models to Bedrock equivalents, estimates cost savings, and generates an SDK migration guide tailored to your integration pattern, whether you're using direct API calls, LangChain, CrewAI, or custom agent loops. Get a detailed runbook with model mappings, cost analysis, and code samples in minutes, not weeks.
Migrate block storage to Amazon FSx for NetApp ONTAP
AWS Transform now supports block storage migration to Amazon FSx for NetApp ONTAP alongside Amazon EBS, giving teams flexibility to choose the destination that fits each workload. A simple agentic workflow handles migration from any source, whether VMware environments on NetApp, enterprise databases, Dell or Pure Storage arrays, or business-critical applications. Once workloads land on FSx for ONTAP, inline deduplication, compression, capacity pool tiering, and Autonomous Ransomware Protection are available as native capabilities.
Use AWS Transform from Kiro, Claude, Cursor, and Codex
AWS Transform agents are now accessible directly from your preferred development environment through a Kiro power, agent plugins, and the AWS Transform MCP (Model Context Protocol) server. You can start a transformation in your agentic IDE, monitor progress in the web console, and see results back in your IDE, all against the same underlying job with consistent state. Choose the surface that fits your workflow while gaining the full depth of AWS Transform's modernization expertise.
Use cases
AWS Transform accelerates enterprise cloud migrations with agentic AI that automates the entire lifecycle, from discovery and wave planning through network conversion and cutover. By bringing teams, tools, and workflows together, AWS Transform helps migrations that once took years complete in months.
AWS Transform accelerates full-stack Windows modernization by up to 5x across application, UI framework, database, and deployment layers. 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. It 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 with agentic AI that automates custom code transformations. It provides out-of-the-box transformations for common scenarios like Java, Node.js, and Python upgrades, and performs organization-specific transformations like version upgrades, runtime migrations, complex language translations, and architectural changes. Through continual learning from code samples, documentation, and developer feedback, AWS Transform delivers high-quality, repeatable transformations without requiring specialized automation expertise, so organizations can scale their modernization initiatives.
AWS Transform helps platform engineering teams keep codebases modern, evolving your pipeline toward CI/CD/CM. Get full visibility into technical debt across thousands of repositories and continuously remediate findings like end-of-life dependencies, outdated frameworks, and security vulnerabilities. Replace periodic maintenance sprints with steady, measurable progress at scale.
