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Learn how to design a Terraform workflow that leverages generative AI to automatically provision compliant infrastructure environments by simply writing requirements in natural language. This 32-minute Japanese conference talk presents a technical verification of automation methods combining HCP Terraform, Sentinel policies, Claude Code, and GitHub MCP to solve the traditional challenge where developers needed specialized Terraform knowledge and faced security risks when managing AWS credentials with generative AI. Explore a proposed solution architecture using Claude Code → GitHub → HCP Terraform → AWS that centralizes credential management in HCP Terraform without exposing them to AI, enabling developers to describe requirements in natural language through GitHub Issues while automatically constructing enterprise-compliant infrastructure through Sentinel policy governance checks. Discover design patterns for secure generative AI integration with HCP Terraform and Sentinel, implementation approaches for automated workflows using GitHub MCP, enterprise-level credential management and governance automation concepts, and technical challenges and solutions in Infrastructure as Code automation. Gain insights into the design philosophy and technical approaches that enable developers without specialized knowledge to provision infrastructure using HashiCorp tool combinations.
