In a previous article, Automating AWS Glue Infra and Code Reviews with RAG and Amazon Bedrock, I described how I built a GenAI-powered code review system for AWS Glue jobs using a retrieval-augmented generation (RAG) approach. Given a use case, the system searched all associated jobs, retrieved each job script and a predefined engineering checklist from S3, invoked an LLM, and generated a structured Markdown (.md) review file per job.
Each checklist item was evaluated with: