Show HN: Terraform RAG - index modules, distill conventions, compose via MCP (terraform-rag.io)

Terraform has announced the launch of its AI-powered knowledge base designed specifically for Terraform modules, significantly enhancing the development and management of infrastructure as code. This new tool leverages a sophisticated agentic pipeline that allows users to describe their needs in plain English. It then indexes module catalogs, fetches relevant conventions, and generates production-ready HCL (HashiCorp Configuration Language) code, making it easier to compose and audit Terraform modules while ensuring compliance with organizational standards. The innovation is particularly noteworthy for the AI/ML community as it integrates semantic search capabilities, enabling users to find modules based on intent rather than just names. Additionally, the system conducts security and compliance reviews aligned with an organization’s specific conventions, scanning for issues related to IAM, encryption, and networking. With its ability to learn from actual usage patterns, it automatically distills best practices in naming, tagging, and deployment, while also offering native integration with tools like Claude Code and Cursor. This streamlined approach not only enhances productivity but also reduces the risk of errors and version drift, paving the way for more efficient and secure infrastructure management.