# Tabby Plugin for IntelliJ Platform
[![JetBrains plugins](https://img.shields.io/jetbrains/plugin/d/22379-tabby)](https://plugins.jetbrains.com/plugin/22379-tabby)

Tabby is an AI coding assistant that can suggest multi-line code or full functions in real-time.

Tabby IntelliJ Platform plugin works with all [IntelliJ Platform IDEs](https://plugins.jetbrains.com/docs/intellij/intellij-platform.html#ides-based-on-the-intellij-platform) that have build 2022.2.5 or later versions, such as [IDEA](https://www.jetbrains.com/idea/), [PyCharm](https://www.jetbrains.com/pycharm/), [GoLand](https://www.jetbrains.com/go/), [Android Studio](https://developer.android.com/studio), and [more](https://plugins.jetbrains.com/docs/intellij/intellij-platform.html#ides-based-on-the-intellij-platform).

## Getting Started

1. Set up the Tabby Server: you can build your self-hosted Tabby server following [this guide](https://tabby.tabbyml.com/docs/installation/), or get a Tabby Cloud hosted server [here](https://app.tabbyml.com).  
  **Note**: Tabby Cloud is currently in **closed** beta. Join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) and ask in Tabby Cloud channel to get a beta invite.
2. Install Tabby plugin from [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/22379-tabby).
3. Install [Node.js](https://nodejs.org/en/download/) version 18.0 or higher.
4. Open the settings by clicking on the Tabby plugin status bar item and select `Open Settings...`.
   1. Fill in the server endpoint URL to connect the plugin to your Tabby server.  
     * If you are using default port `http://localhost:8080`, you can skip this step.  
     * If you are using a Tabby Cloud server endpoint, follow the instructions provided in the popup messages to complete the authorization process. 
   2. Enter the node binary path into the designated field
     * If node binary is already accessible via your `PATH` environment variable, you can skip this step.
     * Remember to save the settings and restart the IDE if you made changes to this option.
5. Check the Tabby plugin status bar item, it should display a check mark if the plugin is successfully connected to the Tabby server. 

## Troubleshooting

If you encounter any problem, please check out our [troubleshooting guide](https://tabby.tabbyml.com/docs/extensions/troubleshooting).

## Development and Build

To develop and build Tabby plugin, please clone [this directory](https://github.com/TabbyML/tabby/tree/main/clients/intellij) and import it into IntelliJ Idea.