Open Source Kotlin Integrated Development Environments (IDE)

The Gradle IntelliJ Plugin is a plugin for the Gradle build system to help configure your environment for building, testing, verifying, and publishing plugins for IntelliJ-based IDEs. The Gradle Wrapper files, and in particular the Gradle-wrapper.properties file, which specifies the version of Gradle to be used to build the plugin. If needed, the IntelliJ IDEA Gradle plugin downloads the version of Gradle specified in this file. The IDE Plugin generator automatically creates the Run Plugin run configuration that can be executed via the Run | Run... action or can be found in the Gradle tool window under the Run Configurations node. To execute the Gradle runIde task directly, open the Gradle tool window and search for the runIde task under the Tasks node. If it's not on the list, hit the re-import button in the toolbar at the top of the Gradle tool window.

A language server that provides smart code completion, diagnostics, hover, document symbols, definition lookup, method signature help and more for Kotlin.

The IntelliJ-Platform-Plugin-Template is a fully configured starter project that helps developers quickly create, build, and publish plugins for the JetBrains IntelliJ Platform, which includes IDEs like IntelliJ IDEA, PyCharm, WebStorm, and others. It sets up standard project structures, build scripts (usually with Gradle), sample plugin code, and example configurations so developers can focus immediately on the functionality they want to add rather than setup boilerplate. This template supports modern plugin development workflows, including UI extensions, language support tooling, actions, tool windows, intentions, inspections, and more, providing sensible defaults that follow JetBrains recommended patterns. It also includes tasks for running and debugging the plugin inside a sandboxed IDE instance, as well as guidelines to package and publish the plugin to the JetBrains Plugin Repository.

The AWS Toolkit for JetBrains makes it easier to write applications built on Amazon Web Services. If you come across bugs with the toolkit or have feature requests, please raise an issue on our GitHub repository. See the user guide for how to get started, along with what features/services are supported. CodeWhisperer uses machine learning to generate code suggestions from the existing code and comments in your IDE. Supported languages include: Java, Python, and JavaScript. In addition to providing code suggestions within your current file, CodeWhisperer can scan your code package to identify security issues. Connect to AWS using static credentials, credential process, or AWS SSO. View and manage AWS resources. Locally test and step-through debug functions in a Lambda-like execution environment provided by the AWS SAM CLI. Supports Java, Python, Node.js, and .NET Core.