This talk presents an approach that utilizes static code analysis using Konveyor.io (CNCF Sandbox project) coupled with Large Language Models (LLMs) to facilitate automated code transformation. Our method comes from the tool "Kai", which analyzes static code to pinpoint areas within source code requiring modification. Kai uses the power of LLMs to generate code changes to resolve identified incidents. It eliminates the need for fine-tuning LLMs. Instead, it augments the knowledge of LLMs with Konveyor data through prompt engineering (few shots) and the use of Retrieval-Augmented Generation (RAG). This session includes a demo showcasing how a legacy application is migrated and then deployed to Kubernetes using the power of Kai.