Terraform Resource Block Generator

The Terraform Resource Block Generator writes a single, valid resource block from a simple form for any provider you work with. A resource block is the core building block of Terraform, declaring one infrastructure object such as an AWS instance, a Google compute disk, or an Azure resource group. Writing these blocks by hand is tedious and easy to get wrong, particularly when attributes are typed, nested blocks are required, or count and for_each are involved. This tool assembles the block for you, validates the resource name against Terraform identifier rules, and emits clean HCL you can paste into main.tf. It supports typed attributes, repeated nested blocks, and meta arguments, and it runs entirely in your browser so nothing is uploaded. Use it to prototype a resource quickly, to teach someone the correct shape of a block, or to avoid small syntax mistakes that break a terraform plan. The generated output is normalized through the shared serializer so quotes, lists, and maps are formatted exactly as Terraform expects them. When you are exploring a new provider, the generator is also a fast way to discover the right shape of a block before you wire it into a larger module.

• Any provider - aws_instance, google_compute_instance, azurerm_resource_group and many more are supported without special configuration.
• Typed attributes - string, number, bool, and raw expression values are supported and serialized in the correct HCL form.
• Nested blocks - add tag, ingress, or custom blocks each with their own typed attributes and labels.
• count and for_each - the meta arguments are emitted at the top of the block when you provide them.
• Identifier validation - resource names are checked against Terraform identifier rules before generation.
• Add and remove rows - attribute and block rows are fully dynamic so you can build complex resources.
• Correct HCL - output is built with the shared serializer for valid, consistent syntax.
• Copy, download, print - get main.tf wherever you need it with one click.
• Clipboard safe - plain HCL is copied without any surrounding markup.
• Private - everything runs in the browser on your machine and nothing leaves the page.
• Output stats - shows the attribute and nested block counts after generation for a quick sanity check.
• Reset and sample - clear the form or load a realistic example in a single click.

1. Type the resource type such as aws_instance into the Type field at the top of the form.
2. Type a valid resource name that follows Terraform identifier rules, starting with a letter or underscore.
3. Optionally set count or for_each if you need to create multiple instances from one definition.
4. Add attributes using the Add attribute button, choosing a type per value from the dropdown.
5. Add nested blocks with the Add block button, give each a type and label, then fill in their attributes.
6. Click Generate HCL to build the resource block and see it in the preview pane.
7. Copy, download main.tf, or print the resulting block depending on your workflow.
8. Paste the block into your configuration and run terraform validate to confirm it is accepted.

Example 1 - an aws_instance with ami and instance_type attributes produces a resource block with those two arguments set correctly. Example 2 - adding a tag block with label Name and attribute Name = "web" nests a proper tag block inside the resource. Example 3 - setting count = 3 emits count = 3 at the top of the block, creating three instances from one definition. Example 4 - a bool attribute such as enable_volume_tags = true is serialized with the correct unquoted literal rather than a quoted string. Example 5 - a raw expression like subnet_id = var.subnet_id is preserved verbatim so Terraform evaluates it at plan time.

• Correct schema - you get a valid resource block every time without manual editing.
• Flexible - any provider and any attribute shape is supported through typed rows.
• Validated - identifier names are checked before generation so plan time errors are avoided.
• Private - everything runs in the browser on your machine and no data is uploaded.
• Fast - prototype resources in seconds, not minutes of fiddly copy paste.
• Portable - copy, download, or print the output wherever you work and commit it to git.