AWS Transform is a collaborative transformation workbench powered by specialized AI agents. They assess, plan, and execute enterprise migrations and code modernization — VMware, mainframe, full-stack Windows, and any custom code pattern — and keep reducing tech debt continuously after the project ends.
Cumulative results across mainframe, Windows/.NET, infrastructure, and custom code modernization in AWS Transform's first year.
Source: AWS Transform launch guide
Four layers — from the UI you interact with, through specialized agents, down to the AI foundation. Hover any component to learn what it does.
Every migration starts as an inventory problem. AWS Transform ships its own agentless discovery appliance that runs entirely inside your data centre, then turns what it finds into a right-sized TCO business case and a dependency-aware wave plan — without a spreadsheet in sight.
The AWS Transform discovery tool is an Open Virtual Appliance you deploy into your VMware infrastructure. It replaces the Application Discovery Service Agentless Collector, and it is self-contained: no cloud connectivity, no external dependencies, no outbound internet access.
Traditional assessment treats every pass as a one-shot report: collect, analyse, deliver a static business case, repeat the whole cycle when an input changes. AWS Transform keeps the assessment live — you adjust it in chat instead of re-running it.
A manual wave plan is out of date the moment it's finished. AWS Transform treats planning as a process that keeps moving: re-upload discovery data whenever it changes and the plan adapts, with a human reviewing every recommendation before anything is actioned.
The appliance is a self-contained application that can be deployed on-premises without cloud connectivity or external dependencies. Everything it collects is stored locally on the virtual appliance, and anything you export downloads to your own workstation. No data is transmitted to AWS unless you choose to upload it — which is what makes this workable for highly regulated industries and organisations with strict data-governance requirements.
Where the journey starts. Automated right-sizing from your existing inventory, what-if scenario comparison, and executive-ready deliverables — before you migrate anything.
Discover, plan, convert networks, and migrate servers — all orchestrated by AI. Network conversion up to 80× faster than manual approaches.
Refactor millions of lines of COBOL to Java in minutes. Decompose monolithic z/OS applications into cloud-ready Spring Boot components.
Modernize all layers — .NET Framework to .NET 10, SQL Server to Aurora PostgreSQL, Web Forms to Blazor, and containerized deployment. Up to 5× faster.
Version upgrades, SDK migrations, framework transitions — define once, execute across hundreds of repos. The agent learns and improves from every run.
Connect your GitHub org, GitLab group, or Bitbucket workspace and let the agent analyse on a schedule. Findings become pull requests with validated changes — modernization stops being a project.
Two agents, one workflow. Explore the architecture, three execution modes, the learning loop, and the self-debugging cycle that makes the agent resilient.
Watch the AWS Transform agent work in real time. Follow along on your phone as we upgrade a Python 3.8 app to 3.13 — step tracker, progress bar, and activity feed.
AWS Transform ships continuously. Scroll to follow the 2026 releases — every entry links to its official announcement.
AWS Transform for .NET modernization is now generally available through the CLI, alongside the web app, Visual Studio, Kiro Power, and MCP agents. Custom now runs in eight AWS Regions and includes 50,000 free agent minutes per month for AWS-managed .NET transformations. Announcement →
Block storage workloads can now migrate directly to Amazon FSx for NetApp ONTAP, removing the intermediate storage platform and the separate migration tooling that used to sit in between. Announcement →
Define actions once at the account level and AWS Transform applies them to every source server across multi-account migrations. They execute through AWS Systems Manager after test or cutover launch, using predefined actions or your own SSM documents. Announcement →
Connect GitHub organizations, GitLab groups, and Bitbucket workspaces, then run analyses on demand or on a schedule. Findings are prioritized across technical debt, security, agentic readiness, and modernization readiness — and each remediation opens a pull or merge request with validated changes. Your code stays in your account. Announcement →
Modernize SQL Server to Aurora PostgreSQL without a live database connection — upload DDL files, get a complexity assessment of tables and stored procedures, and review a customizable transformation plan. A separate synthetic data workflow populates Aurora for end-to-end validation. Announcement →
A modernization engine now reviews the network it is converting: it segments VPCs with mixed workload tiers, consolidates constructs, right-sizes CIDR allocations, standardizes naming, flags unrestricted security group rules, and identifies CIDR conflicts with your existing VPCs. Configuration files are accepted in any format. Announcement →
Partners, ISVs, and customers can build their own transformation agents on the AWS Transform base agent and register them with the service, via the Kiro power marketplace. Separately, migration assessments gained what-if scenarios with customizable assumptions, side-by-side comparison, and extra Cloud Value Framework pillars. Toolkit → · Assessments →
Start a transformation in your IDE, then monitor progress and review results in the web console — against the same underlying job. AWS Transform also added IAM role authentication, so you create environments, workspaces, and jobs with your existing AWS credentials. Landing zone creation was automated the same month. Developer tools → · Landing zone →
Generally available: comprehensive codebase analysis (hierarchical documentation plus outdated-component detection) and Node.js version upgrade with full dependency modernization. In early access: Java performance optimization from Java Flight Recorder data, Log4j to SLF4J, Angular to React, Angular version upgrade, and Vue version upgrade. Announcement →
Tracking every release: AWS Transform — Latest Innovations
Self-paced courses on AWS Skillbuilder — from fundamentals to advanced workflows. Log in to Skillbuilder before clicking course links.