You want to write Terraform configuration files faster and with fewer errors. GitHub Copilot can generate HCL code, suggest resource blocks, and complete variable definitions as you type. This article explains how to set up Copilot for Terraform development, what prerequisites you need, and how to use its suggestions effectively in VS Code or JetBrains IDEs. You will learn the exact steps to enable Copilot for .tf and .tfvars files, plus common pitfalls to avoid.
Key Takeaways: Using GitHub Copilot with Terraform
- VS Code extension HashiCorp Terraform: Provides syntax highlighting and language server support that Copilot uses to generate accurate HCL suggestions.
- Copilot extension v1.120+: Required for Terraform-specific completions including resource attributes and provider blocks.
- Ctrl+Enter in VS Code: Opens the Copilot suggestions panel to view multiple alternative completions for a given context.
How GitHub Copilot Works with Terraform Files
GitHub Copilot is an AI code completion tool that integrates with popular code editors. When you edit a .tf file, Copilot reads the context of your current file, open tabs, and repository structure to suggest completions. It understands HCL syntax because it was trained on public Terraform repositories and the HashiCorp Terraform documentation.
Copilot does not execute Terraform code. It generates static HCL text that you must review and test. The suggestions include resource blocks, data sources, variable definitions, output blocks, and provider configurations. Copilot can also generate comments and documentation blocks.
Prerequisites
Before you start, ensure the following are in place:
- A GitHub Copilot subscription. Copilot Free, Copilot Pro, or Copilot for Business all support Terraform.
- Visual Studio Code with the GitHub Copilot extension installed and signed in. The extension must be version 1.120 or newer.
- The official HashiCorp Terraform extension for VS Code. This extension provides HCL language support that Copilot uses for better suggestions.
- For JetBrains IDEs: the GitHub Copilot plugin and the Terraform and HCL plugin from the JetBrains marketplace.
- A Terraform project with at least one .tf file open in the editor.
Steps to Enable and Use GitHub Copilot for Terraform
Follow these steps to configure Copilot and start generating Terraform code.
- Install the required VS Code extensions
Open VS Code. Go to the Extensions view by clicking the Extensions icon in the Activity Bar or pressing Ctrl+Shift+X. Search for “HashiCorp Terraform” and install it. Then search for “GitHub Copilot” and install the official extension. Restart VS Code after installation. - Sign in to GitHub Copilot
Click the Copilot icon in the status bar at the bottom right of VS Code. Select “Sign in to GitHub Copilot.” A browser window opens asking you to authorize VS Code. Complete the sign-in flow. The status bar icon changes to indicate Copilot is active. - Open or create a Terraform configuration file
Create a new file with a .tf extension, for example main.tf. Type the provider block. For example, typeprovider "aws" {and press Enter. Copilot suggests the region and other attributes. Press Tab to accept a suggestion. - Generate a resource block from a comment
Type a comment describing the resource you want. For example, type# Create an S3 bucket with versioning enabledand press Enter. Copilot generates the resource block. Review the output and edit any values that need changing. - Use Ctrl+Enter to see multiple suggestions
Place your cursor where you want a completion. Press Ctrl+Enter. The Copilot suggestions panel opens showing up to 10 alternative completions. Click any suggestion to insert it into your file. - Accept partial suggestions with Ctrl+Right Arrow
If Copilot suggests a long block but you only want the first part, press Ctrl+Right Arrow to accept the next word. Repeat to accept one token at a time. This is useful when the full suggestion is close but needs small edits. - Use inline chat for complex tasks
In VS Code, press Ctrl+I to open Copilot Chat inline. Type a request such as “generate a Terraform module for an EC2 instance with a security group.” Copilot writes the code in a diff view. Review and accept the changes.
Common Mistakes and Limitations When Using Copilot with Terraform
Copilot suggests outdated provider syntax
Copilot may generate resource blocks using deprecated arguments or old provider versions. Always check the Terraform registry documentation for the provider version you are using. For example, if Copilot suggests aws_s3_bucket with deprecated acl and versioning arguments, update the block to use the current aws_s3_bucket_versioning resource instead.
Copilot does not understand your existing state or variables
Copilot generates static HCL. It cannot read your Terraform state file, your remote backend, or the values of variables defined in other files. If you need dynamic references, you must manually type the variable names or use Copilot Chat and provide the variable definitions as context.
Copilot may suggest insecure default values
For example, Copilot might generate an S3 bucket with public-read ACL or a security group that allows 0.0.0.0/0 on port 22. Always review security-related settings. Copilot does not enforce security best practices. You are responsible for the final code.
Copilot does not validate Terraform syntax
Copilot can produce syntactically invalid HCL, especially when mixing resource types or providers. Run terraform validate after accepting Copilot suggestions. The HashiCorp Terraform extension also provides real-time syntax checking in VS Code.
GitHub Copilot vs Terraform Cloud Code Generation
| Item | GitHub Copilot | Terraform Cloud Code Generation |
|---|---|---|
| Availability | VS Code, JetBrains, and other editors | Terraform Cloud web UI only |
| Input method | Natural language comments or inline chat | Natural language description in a form |
| Context awareness | Reads open files and repository structure | Uses only the description you provide |
| Output format | HCL code inserted directly into the editor | HCL code shown in a code block you copy |
| Provider support | All providers Copilot was trained on | Limited to AWS, Azure, and Google Cloud |
| Cost | Included with Copilot subscription | Included with Terraform Cloud Free and above |
Both tools generate HCL from natural language. Copilot integrates directly into your editor and uses project context. Terraform Cloud Code Generation works in a browser and does not require an editor plugin. For most Terraform developers, Copilot offers faster iteration because you never leave the editor.
After setting up Copilot, try generating a complete Terraform module for a common pattern such as a VPC with subnets. Use Copilot Chat to refactor the module by asking “add tags to all resources.” Run terraform fmt and terraform validate before committing. The combination of Copilot and the HashiCorp Terraform extension gives you real-time linting and AI-assisted code generation in one workflow.