> For the complete documentation index, see [llms.txt](https://docs.tabnine.com/main/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tabnine.com/main/welcome/readme.md).

# Overview

<figure><img src="/files/tYOFh9ENB5dI99eEflEQ" alt=""><figcaption></figcaption></figure>

## What is Tabnine?

Tabnine is a fully private, organization-aware AI coding agent designed to run entirely within your environment. It connects to your repositories and development systems to deliver real-time, secure code assistance and automated workflows across the software lifecycle.

Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team.

#### How to use Tabnine <a href="#how-to-use-tabnine" id="how-to-use-tabnine"></a>

* Use Tabnine Agent, via either [**CLI**](/main/getting-started/tabnine-cli.md) or [**IDE**](/main/getting-started/tabnine-agent.md) environments, to perform your coding tasks.
* Use [**Tabnine Chat**](/main/getting-started/tabnine-chat.md) to ask questions about your codebase.
* Learn about the [**administrator's capabilities**](/main/administering-tabnine/manage-a-team.md) to understand, control, and govern your organization's usage of Tabnine.

#### Other topics

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>General information</strong></td><td><p></p><ul><li><a href="/pages/xeW5SndmxCDAtu3EXm3h">Security</a></li><li><a href="/pages/Ok9sGt1XmJMM432I76k8">AI Models</a></li><li><a href="/pages/y7tUKjPNo1rsgdC4YAqf#tabnine-cluster">System requirements</a></li><li><a href="https://www.tabnine.com/pricing">Tabnine plans</a></li></ul></td><td></td><td></td></tr><tr><td><strong>Using Tabnine</strong></td><td><ul><li><a href="/pages/3elYmWmHhzoPwqo5Dm83">Install</a></li><li><a href="/pages/39kUMcozj8RwKz1uf2Af">Quickstart</a></li><li><a href="/pages/4rKpudzROWSbDuunYmzz">Tabnine Agent</a></li><li><a href="/pages/g6UjEKDsP8DNAMO5kdKK">Tabnine Chat</a></li></ul></td><td></td><td></td></tr><tr><td><strong>Admin Capabilities</strong> </td><td><ul><li><a href="/pages/t5VWndyhADTPkjrUzqGp">Analytics</a></li><li><a href="/pages/YlXgRqM49bDWPakJEuQ9">Team Management</a></li><li><a href="/pages/l5E4cqPMF5rWjYM23xzc">User Management</a></li><li><a href="/pages/MXKmKwOZmYt6E9fgdtdD">Context Engine</a></li><li><a href="/pages/rMuFS5IGLEc9IdHKP099">Settings</a></li><li><a href="/pages/EKrRIRyNuBi6olnVrOAL">APIs</a></li></ul></td><td></td><td></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.tabnine.com/main/welcome/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.