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AWS Toolkit for JetBrains

AWS Toolkit for JetBrains is a plugin for JetBrains IDEs that make it easier to write applications built on Amazon Web Services

The AWS Toolkit for JetBrains is open source because we want you to be involved. We appreciate issues, feature requests, pull requests, code reviews or any other contributions.


We want your feedback!

Supported IDEs

All JetBrains IDEs 2020.1+


See Installing the AWS Toolkit for JetBrains in the AWS Toolkit for JetBrains User Guide.

To use this AWS Toolkit, you will first need an AWS account, a user within that account, and an access key for that user. To use the AWS Toolkit to do AWS serverless application development and to run/debug AWS Lambda functions locally, you will also need to install the AWS CLI, Docker, and the AWS SAM CLI. The installation guide covers setting up all of these prerequisites.

EAP Builds

We also offer opt-in Early Access Preview builds that are built automatically.

In order to opt-in:

  • Add the URL to your IDE's plugin repository preferences by going to Plugins->Gear Icon->Manage Plugin Repositories and adding the URL to the list
  • Check for updates.

Installing From Source

Please see CONTRIBUTING for instructions.



  • AWS Resource Explorer - tree-view of AWS resources available in your selected account/region. This does not represent all resources available in your account, only a sub-set of those resource types supported by the plugin. Learn More
  • Authentication - Connect to AWS using static credentials, credential process, or AWS SSO. Learn more about authentication options


CloudFormation AWS CloudFormation

  • View events, resources, and outputs for your CloudFormation stacks

CloudWatch Logs CloudWatch Logs

  • View and search your CloudWatch log streams

AWS Lambda AWS Lambda

Many of these features require the AWS SAM CLI to be installed, see the Serverless Application Model (SAM) website for more information on installation of the SAM CLI.

SAM features support Java, Python, Node.js, and .NET Core

  • Run/Debug Local Lambda Functions - Locally test and step-through debug functions in a Lambda-like execution environment provided by the SAM CLI. Learn More
  • Invoke Remote Lambda Functions - Invoke remote functions using a sharable run-configuration Learn More
  • Package & Deploy Lambda Functions - Ability to package a Lambda function zip and create a remote lambda Learn More
  • Deploy SAM-based Applications - Package, deploy & track SAM-based applications Learn More

Note: Python features are available in both PyCharm and IntelliJ with the Python Plugin installed.

Amazon Redshift Amazon RDS/Redshift

  • Connect to RDS/Redshift databases using temporary credentials with IAM/SecretsManager, no copy paste required

Note: database features require using a paid JetBrains product

Amazon S3 Amazon S3

  • View and manage your S3 buckets
  • Upload/Download to from buckets
  • Learn more

Experimental Features

Sometimes we'll introduce experimental features that we're trying out. These may have small bugs or may not be fully functional, and because these aren't ready for prime-time we'll hide them behind an experimental feature flag. To enable these experiments you can take the following steps:

  1. From inside your IDE session open the "Find Action" prompt (Shift+Cmd+A / Ctrl+Shift+A)
  2. Search for "Registry..." and click it
  3. In the list that appears find the experiment you want to turn on (AWS Toolkit features will begin with aws.feature) and tick the box next to it
  4. Click Close
  5. If the feature requires restarting, you'll be prompted to restart the IDE.

The feature should now be enabled.


The plugin is distributed according to the terms outlined in our LICENSE.

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