What problem does it solve? Azure environments often accumulate oversized SKUs, idle resources, and misconfigured tiers that inflate monthly bills, and identifying these savings manually across subscriptions is slow and error-prone. ## Core Features & Use Cases - Resource Discovery: Enumerates subscriptions, resource groups, and resources via Azure MCP tools with Azure CLI fallbacks, and detects Bicep, Terraform, and ARM template files. - Usage & Cost Validation: Queries Log Analytics workspaces for utilization metrics and validates current SKU costs against Azure pricing before recommending changes. - Prioritized Recommendations: Scores each optimization by savings, risk, and implementation effort, then creates individual GitHub issues plus a coordinating EPIC issue with an architecture diagram. - Use Case: Point the agent at a resource group running App Services, Cosmos DB, and Storage accounts; it analyzes usage, proposes right-sizing and tier changes, and files trackable GitHub issues after your confirmation. ## Quick Start Ask the agent to analyze the Azure resources in my resource group for cost optimization opportunities and create GitHub issues for each recommendation.
