AWS re:Invent 2025 - [NEW LAUNCH] Bring Your Own Agents and Tools to AWS Transform (MAM208)

Source: Dev.to

Introduction

In this session, Tushar Saxena introduces AWS Transform, the first agentic AI service for migration and modernization. He likens it to GPS navigation for cloud migration and announces new composability features that let partners and customers bring their own agents and tools into AWS Transform.

Vision: Migration as GPS

Traditional migration projects involve scripts, manual hand‑offs, and months‑long timelines. AWS Transform aims to make the journey as seamless as a modern navigation app:

• AI agents act as expert assistants, guiding you from discovery through rehosting.
• Interactions are natural‑language based; you can describe requirements or upload documents.
• The service learns from each step, continuously adapting the migration plan.

AWS Transform Overview

AWS Transform was launched with three primary workloads:

1. VMware Migrations

• Handles large‑scale data‑center lift‑and‑shift.
• Ensures network and security configurations in the cloud match on‑premises compliance.
• Uses an AI‑driven VMware migration agent to automate discovery, planning, and execution.

2. Mainframe Modernization

• Targets legacy COBOL applications that have been in production for decades.
• Extracts business rules from the existing code base and re‑imagines them for modern platforms, rather than simple translation.
• Provides a mainframe modernization agent with capabilities for code re‑engineering.

3. Windows Modernization

• Modernizes .NET and other Windows workloads for improved security and performance.
• Offers a Windows modernization agent that handles full‑stack updates.

Composability: Bring Your Own Agents and Tools

The newly announced composability feature lets you:

• Register custom agents in the AWS Transform agent registry.
• Build personalized orchestrations that combine AWS‑provided agents with your own.
• Leverage the existing AWS Transform UI, collaboration tools, and built‑in agents while extending functionality to meet specific business needs.

How It Works

1. Agent Registration – Upload your custom agent definition to the registry.
2. Orchestration Design – Use the visual workflow editor to stitch together AWS and custom agents.
3. Execution – Run the combined workflow; AWS Transform handles coordination, monitoring, and learning.

Partner Example: AWS Professional Services

AWS Professional Services demonstrated composability by creating a delivery agent and a Cloud Migration Factory:

• The delivery agent automates repetitive migration tasks.
• The Cloud Migration Factory orchestrates multiple agents to deliver end‑to‑end migration projects.
• This implementation showcases how internal teams can extend AWS Transform to fit unique processes.

Customer Testimonials & Best Practices

• Customer feedback highlights faster migration timelines and reduced manual effort.
• Best practices include:
  • Start with a clear business priority to guide the AI agents.
  • Use natural‑language prompts to refine migration plans on the fly.
  • Continuously feed execution data back to the service so it can learn and improve.

Getting Started

1. Sign in to the AWS Transform console.
2. Explore the pre‑built agents for VMware, mainframe, and Windows workloads.
3. If you have custom tools, register them via the Agent Registry.
4. Design your migration orchestration using the visual workflow editor.
5. Launch the migration and monitor progress through the built‑in dashboard.

Conclusion

AWS Transform aims to turn complex, multi‑team migration projects into an automated, AI‑driven experience—much like a GPS that continuously reroutes you based on traffic and preferences. With composability, partners and customers can now extend the platform with their own agents and tools, creating truly customized migration solutions.