AI Terraform Config Generator
Generate Terraform configurations for AWS, GCP, and Azure infrastructure. Create IaC modules with proper resource definitions, variables, and outputs.
Infrastructure as Code Without the Boilerplate
Terraform configurations involve repetitive boilerplate — provider blocks, variable declarations, proper naming, tagging, and output definitions. Our generator produces clean, well-organized Terraform code with all these elements in place, letting you focus on your infrastructure architecture rather than syntax details.
Cloud-Native Best Practices Built In
Each generated configuration follows cloud-native best practices: proper networking with public and private subnets, security groups with least-privilege rules, encryption at rest and in transit, automated backups for databases, and appropriate instance sizing. These details are easy to overlook but critical for production reliability and security.
Frequently asked questions
Short answers for this tool before you move into a full branded assistant.
Which cloud providers does the generator support?
We support AWS with services like VPC, EC2, RDS, ECS, S3, Lambda, and CloudFront; Google Cloud with Compute Engine, Cloud SQL, GKE, Cloud Storage, and Cloud Functions; Azure with Virtual Networks, App Service, Azure SQL, AKS, and Blob Storage; and DigitalOcean with Droplets, managed databases, and Kubernetes. Each uses the official Terraform provider.
How is the generated code structured?
The modular structure separates code into main.tf for resource definitions, variables.tf for input variable declarations with descriptions and validation rules, outputs.tf for values exposed to other modules, and provider.tf for provider and backend configuration. This structure follows HashiCorp best practices and makes the code easy to maintain and reuse.
Does the generator handle remote state?
Yes, when state backend is selected, the configuration includes a remote state backend setup — S3 with DynamoDB locking for AWS, GCS for Google Cloud, or Azure Blob Storage for Azure. Remote state is essential for team collaboration and CI/CD pipelines, preventing concurrent modifications and providing a reliable state source of truth.
How does the multi-environment structure work?
The multi-environment option creates a configuration that works across dev, staging, and production using Terraform workspaces or separate variable files. Common infrastructure is defined once with environment-specific values like instance sizes, replica counts, and domain names provided through .tfvars files, keeping your code DRY while allowing per-environment customization.
Are the generated resources tagged properly?
Yes, all resources include proper tagging with environment, project name, managed-by tags, and a consistent naming convention. Tags are defined as variables so they can be customized per deployment. Proper tagging is essential for cost tracking, resource management, and security compliance in production cloud environments.
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