You can now write AWS infrastructure using React components. If AI knows React, AI can now design your entire backend.

80 lines of JSX now generates what used to be 600+ lines of Terraform. The math is stupidly good.

Write AWS cloud infrastructure using React component syntax. The tool compiles JSX to production-ready Terraform. You get VPCs, databases, Lambdas, ECS clusters; all written like React components with Tailwind-style className props.

Learning HCL syntax → Just use React

200+ lines of Terraform for basic VPC → ~15 lines of JSX

Cryptic Terraform errors → Familiar React patterns

Cost ? Open source. Free forever.

The genius is in the mental model. You already know how to compose React components. Now you compose infrastructure the exact same way.

Write a VPC with subnets:

<VPC className="cidr-10_0_0_0/16" name="production">
<PublicSubnet className="cidr-10_0_1_0/24 az-1a" name="public-1a" />
<PrivateSubnet className="cidr-10_0_10_0/24 az-1a" name="private-1a" />
<InternetGateway name="igw" />
</VPC>

That's it. Click download. You get 400+ lines of production Terraform with route tables, security groups, and AWS best practices baked in.

The className prefixes follow a Tailwind pattern: cidr-10_0_0_0/16 sets your CIDR block, az-1a picks the availability zone. It reads like English.

Here's what gets me. AI models are already trained on millions of lines of React. They understand components, props, composition deeply.

So when you ask an AI for infrastructure, it can generate React2AWS code reliably. The alternative: AI writing raw Terraform = is hit or miss. HCL is weird. React is familiar.

Try this prompt: "I need a production ML platform with PostgreSQL for metadata, Redis for caching, S3 for model storage, and ECS for inference. Make it multi-AZ."

With React2AWS, AI spits out complete, working JSX. You download the Terraform. You deploy.

This is the shift. Backend infrastructure stops being gatekept by DevOps knowledge. If you know React, you can ship backend.

Here's a complete ML inference platform in ~80 lines:

<VPC className="cidr-10_0_0_0/16" name="ml-platform">
<PublicSubnet className="cidr-10_0_1_0/24 az-1a" name="public-1a" />
<PrivateSubnet className="cidr-10_0_10_0/24 az-1a" name="private-1a" />
<LoadBalancer className="type-application scheme-internet-facing" name="lb"/>
<ECS className="launch-type-fargate cpu-2048 memory-4gb" name="inference">
<TaskDefinition className="image-public container-port-8080" name="task" />
</ECS>
<RDS className="engine-postgres instance-lg multi-az backup-30d" name="db" />
<DynamoDB className="billing-mode-pay-per-request ttl-enabled"
name="metrics">
<PartitionKey className="type-string" name="model_id" />
</DynamoDB>
<S3Bucket className="versioning-enabled encryption-kms" name="models" />
</VPC>

Equivalent Terraform? 600+ lines. Multiple files. Modules, variables, outputs. Hope you didn't typo a resource name.

The coverage is solid:

VPC infrastructure: Public/private subnets, NAT gateways, internet gateways, route tables

Databases: RDS with PostgreSQL, MySQL, or MariaDB. Multi-AZ failover, automatic backups, encryption

Serverless: Lambda functions with any runtime, ECS containers with Fargate

Storage: S3 buckets with versioning, encryption, lifecycle policies

NoSQL: DynamoDB with TTL, streams, global secondary indexes

Coming soon: EKS, ElastiCache, SQS, SNS, Step Functions

Go to https://www.react2aws.xyz/studio

No installation. Browser-based. Write JSX. See Terraform generate in real-time. Download when it looks right.

The GitHub is mmmarinovic/React2AWS. It's actively maintained. Last updates were January 2026.