Using AutoGen (Microsoft Agent Framework) to manage complex Cloud Technology migrations?

All answers to this question.

It’s highly feasible. In fact, that’s a classic use case for AutoGen’s "Hierarchical Chat." You can have a "Project Manager Agent" that delegates sub-tasks. One sub-agent can be a "Cloud Architect" specialized in Azure services, while another is a "DevOps Agent" that strictly writes the HCL/Terraform code. The Architect agent can provide the JSON specs, and the DevOps agent converts it to code. Because AutoGen supports "Stateful" conversations, the DevOps agent can even remember the specific CIDR blocks or region constraints mentioned by the Architect five messages ago.

   Answered 2025-11-17 by Cynthia Rogers

How do you handle the validation of that Terraform code? I’d be terrified to run AI-generated infrastructure code without a very rigorous "plan" and "validate" step.

   Answered 2025-11-19 by Brandon Lee

• Brandon, the trick is to add a "Validator Agent." Its only job is to run terraform plan in a safe environment and check for errors. If the plan fails, the error message is fed back to the "DevOps Agent" to fix the code. It keeps looping until the plan is green. Only then does it present the final code to a human for the actual apply.

     Commented 2025-11-21 by Gregory Wright

This is exactly why Microsoft is pushing this framework. It turns complex, multi-step cloud engineering into a manageable, automated dialogue between specialists.

   Answered 2025-11-23 by Ronald Moore

• It’s the "dialogue" part that makes it better than just a script. The agents can actually reason through why a certain VM size was chosen.

     Commented 2025-11-25 by Jason Wood