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AWS Toolkit for JetBrains is a plugin for JetBrains IDEs thatmake it easier to write applications built onAmazon Web Services

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

We want your feedback!

• Vote onfeature requests. Votes help us drive prioritization of features
• Request a new feature
• Ask a question
• File an issue
• Code contributions. Seeour contributing guide for how to get started.

All JetBrains IDEs 2023.3+

SeeInstalling 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 thatuser. 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 ofthese prerequisites.

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

In order to opt-in:

• Add the URLhttps://plugins.jetbrains.com/plugins/eap/aws.toolkit to your IDE's plugin repository preferences bygoing toPlugins->Gear Icon->Manage Plugin Repositories and adding the URL to the list
• Check for updates.

Please seeCONTRIBUTING for instructions.

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

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

• View and search your CloudWatch log streams

Many of these features require theAWS SAM CLI to be installed, see theServerless Application Model (SAM) website for more information oninstallation 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 executionenvironment provided by the SAM CLI.Learn More
• Invoke Remote Lambda Functions - Invoke remote functions using a sharable run-configurationLearn More
• Package & Deploy Lambda Functions - Ability to package a Lambda function zip and create a remote lambdaLearn More
• Sync SAM-based Applications - Sync & track SAM-based applicationsLearn More

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

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

Note: database features require using a paid JetBrains product

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

Sometimes we'll introduce experimental features that we're trying out. These may have bugs, usability problems or may not be fully functional, and because thesearen't ready for prime-time we'll hide them behind an experimental feature flag.

Experimental features can be enabled in the settings/preferences(Settings -> Tools -> AWS -> Experimental Features) or via the Addtional Settings () in the AWS Explorer Tool Window.

Please note that experimental features may be disabled / removed at any time.

The plugin is distributed according to the terms outlined in ourLICENSE.