Migration & Modernization
Author: Ben Vo
Ben Vo is an Applied Scientist at AWS Agentic AI, where he builds coding agents that automate large-scale software transformations. His work combines agentic reasoning with continual learning and post-training techniques to create self-improving systems that help developers ship faster.
Reproducible Code Migration at Scale with AI-Generated Playbooks
Introduction If you’re migrating code at scale across hundreds of repositories, you need reproducible results across runs. Large language model (LLM)-based agents, by definition, rely on the probabilistic nature of LLMs where each result is generated from a variety of potentially probable outcomes. In a short-horizon task, this nondeterminism is manageable. In a long-horizon task […]