TF Dialect

About

AI coding assistants frequently produce generic Terraform code that doesn't adhere to organizational standards. Existing tools like tflint or Sentinel are reactive, identifying violations only after code is written, leading to wasted development cycles. TF Dialect addresses this by exposing your organization's defined Terraform style guide to AI agents through the Model Context Protocol (MCP) *before* code generation. This proactive approach enables AI to learn specific naming conventions, required tags, approved modules, and security defaults, ensuring it generates fully compliant and context-aware Infrastructure as Code on the first attempt, significantly complementing existing post-generation validation tools.

Key Features

• Code Examples: Provide reusable code snippets for common patterns.
• Validation: Check Terraform snippets against organizational rules.
• Security Defaults: Enforce security best practices automatically.
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• Style Guide Management: Define Terraform conventions in a single YAML file.
• Code Generation: Generate compliant Terraform resources following standards.

Use Cases

• Standardizing AI-generated IaC across an organization for platform teams.
• Accelerating developer productivity by ensuring AI generates compliant Terraform code on the first try.
• Automating the enforcement of security defaults and best practices in generated cloud infrastructure.