Use GitHub Agentic Workflows to test Bicep deployments

This article explores using GitHub Agentic Workflows and AI to automatically test Bicep deployments for Azure infrastructure. The author demonstrates how to create a GitHub Action that leverages AI to check Bicep files for best practices and evaluate optimal deployment regions based on energy emissions and latency data. It covers scripts for gathering regional energy mix data (green vs fossil) and latency measurements, using the Entsoe transparency platform. The goal is to automate compliance and sustainability checks without manually writing complex policies. The repository includes example Bicep files with intentional mistakes, data mapping files for EIC codes, and PowerShell scripts for region analysis. The approach can be adapted for longer or shorter evaluation periods depending on infrastructure lifecycle.