Terraform Best Practices

The terraform-best-practices skill equips AI agents with the ability to generate, review, and manage Infrastructure as Code (IaC) using Terraform. It ensures configurations adhere to industry standards for security, modularity, and state management within cloud environments.

When to use it

• Automating the creation of compliant VPCs, subnets, and load balancers across AWS or Azure.
• Generating terraform plans that validate resource dependencies before deployment.
• Refactoring legacy Terraform code into modular, reusable components for team scalability.
• Enforcing policy-as-code checks to prevent non-compliant infrastructure changes.

Key capabilities

• Generates syntactically correct and idiomatic Terraform HCL files.
• Applies best practices for state file management (e.g., remote backends, locking).
• Structures code using modules, variables, and outputs for maintainability.
• Identifies security misconfigurations and resource naming inconsistencies.

Example prompts

• "Create a Terraform module to provision an S3 bucket with versioning enabled and private access policies."
• "Review this existing main.tf file and suggest improvements for state isolation and variable organization."
• "Generate a Terraform configuration for a multi-region Kubernetes cluster using EKS and strict tagging conventions."

Tips & gotchas

Ensure your AI agent has access to the latest Terraform provider versions to avoid deprecated resource types. Always validate generated code against terraform plan before applying changes to production environments.