Free AI AWS Code Converters

How to use the AWS code converters

Every tool on this page works the same way. Each one opens as a split editor with sample code already filled in, so you can see what it expects before you paste anything.

1. Pick the conversion you needSearch above or filter by category, then open the tool that matches your source and target, for example AWS SDK v2 → v3 or CloudFormation YAML → Terraform.
2. Replace the sample with your codePaste into the left-hand editor. Start with one file, one Lambda handler, or one stack. Remove secrets and access keys first.
3. Click ConvertYour code goes to an AI model, and the converted version streams into the right-hand editor line by line. Longer inputs take a few seconds more.
4. Review, copy and testRead the output next to the original, copy it into your project, and run your linter, tests or terraform plan / cdk diff before you ship it.

How these tools help

Most AWS migrations are mechanical but slow: the same import changes, client setup and renamed arguments repeated across dozens of files. These converters produce that first draft in seconds, so you spend your time on the parts that need judgment. They're built for developers, DevOps and platform engineers, and anyone who inherits AWS code written in a stack they don't use day to day.

Migrating from AWS SDK for JavaScript v2 to v3

AWS SDK for JavaScript v2 reached end-of-support on September 8, 2025 and no longer receives updates, including security fixes. The AWS SDK v2 to v3 converter rewrites global AWS.* clients into modular @aws-sdk/client-* imports and client.send(new Command()) calls, one file at a time. For large codebases, pair it with AWS's official v3 migration guide.

Moving between Terraform, CDK, CloudFormation and Pulumi

Teams switch IaC tools when they standardize on one stack, adopt a library, or take over another team's infrastructure. The IaC converters cover the common paths: Terraform to AWS CDK in TypeScript or Python, CDK back to Terraform, CloudFormation YAML to Terraform (JSON is supported too), Terraform to CloudFormation, and Terraform to Pulumi.

Porting AWS code between languages

A Python prototype needs to become a Node.js Lambda, or a Go service has to reproduce what a boto3 script does. The cross-language converters (Boto3 to AWS SDK JS v3, Boto3 to Go, and JavaScript to Boto3) map each API call to its equivalent in the target SDK, so you don't have to look up every operation name.

Writing IAM policies for code you already have

Figuring out which permissions a function needs usually means reading every SDK call and translating it into IAM actions by hand. The IAM generators do that pass for you. They're a quicker starting point than AdministratorAccess and a better fit for AWS's least-privilege best practice.

Key features

Tips for getting better results

• Convert in small, complete units. A single handler, module or stack converts more reliably than a whole repository pasted at once.
• Include the imports and client setup. Region, credentials provider and client options tell the model which SDK and style you're using.
• Keep your comments. Comments that explain intent, such as "retry on throttling", help the output keep that behavior.
• Diff before you deploy. For IaC, run terraform plan, cdk diff or a CloudFormation change set and confirm nothing is being replaced unexpectedly.
• Validate generated IAM policies. Run them through IAM Access Analyzer policy validation and replace wildcard resources with specific ARNs where you can.

Examples

These show the kind of conversion each tool produces. AI output can vary slightly in naming and formatting from run to run.

Upgrade an S3 download from SDK v2 to v3

A Node.js service still reads report files with the v2 SDK. The v2 to v3 converter swaps the global client for a modular one and replaces .promise() with send().

const AWS = require('aws-sdk');
const s3 = new AWS.S3({ region: 'us-east-1' });

const obj = await s3
  .getObject({ Bucket: 'reports', Key: 'q3.csv' })
  .promise();
const csv = obj.Body.toString('utf-8');

import { S3Client, GetObjectCommand } from '@aws-sdk/client-s3';
const s3 = new S3Client({ region: 'us-east-1' });

const obj = await s3.send(
  new GetObjectCommand({ Bucket: 'reports', Key: 'q3.csv' })
);
// v3 returns Body as a stream
const csv = await obj.Body.transformToString();

Move a CloudFormation bucket to Terraform

A team adopting Terraform starts with a versioned S3 bucket defined in CloudFormation YAML. Current AWS provider versions configure versioning as its own resource, and the CloudFormation YAML to Terraform converter splits it out that way.

Resources:
  LogsBucket:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: acme-app-logs
      VersioningConfiguration:
        Status: Enabled

resource "aws_s3_bucket" "logs_bucket" {
  bucket = "acme-app-logs"
}

resource "aws_s3_bucket_versioning" "logs_bucket" {
  bucket = aws_s3_bucket.logs_bucket.id
  versioning_configuration {
    status = "Enabled"
  }
}

Because the bucket already exists, import it into Terraform state before your first terraform apply.

Draft permissions for a Python Lambda

An order-processing Lambda reads from DynamoDB and writes to S3. Paste the handler into the IAM policy generator for Python and you get a policy that allows dynamodb:GetItem on the orders table and s3:PutObject on the uploads bucket, like the diagram above. Replace the * region and account wildcards with your own values before you attach it to the function's execution role.

Frequently asked questions

Keep going

If you're writing new AWS code rather than converting old code, the practical AWS examples library has ready-to-use snippets, such as uploading a file to S3 with S3Client and invoking a Lambda function with SDK v3. After a migration, you can check what your identity is actually allowed to do with this guide to your current role's IAM permissions. Planning storage costs? Try the S3 pricing calculator.