> For the complete documentation index, see [llms.txt](https://docs.bito.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud.md).

# Install/run using Bito Cloud

Deploy the AI Code Review Agent in Bito Cloud.

[**Bito Cloud**](https://alpha.bito.ai/) offers a single-click solution for using the [**AI Code Review Agent**](/ai-code-reviews-in-git/overview.md), eliminating the need for any downloads on your machine. You can create multiple instances of the Agent, allowing each to be used with a different repository on a Git provider such as GitHub, GitLab, or Bitbucket.

We also support **GitHub (Self-Managed)**, **GitLab (Self-Managed)**, and **Bitbucket (Self-Managed)**.

{% hint style="info" %}
The **Free Plan** offers **AI-generated pull request summaries** to provide a quick overview of changes. For advanced features like **line-level code suggestions**, consider upgrading to the **Team Plan**. For detailed pricing information, visit our [**Pricing**](https://bito.ai/pricing/) page.

[**Get a 14-day FREE trial of Bito's AI Code Review Agent.**](https://alpha.bito.ai/home/welcome)
{% endhint %}

## Connect Bito to your Git provider

Select your Git provider from the options below and follow the step-by-step installation guide to seamlessly set up your AI Code Review Agent.

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><mark style="color:blue;"><strong>Guide for GitHub</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-github.md">Guide for GitHub</a></td></tr><tr><td><mark style="color:blue;"><strong>Guide for GitHub (Self-Managed)</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-github-self-managed.md">Guide for GitHub (Self-Managed)</a></td></tr><tr><td><mark style="color:blue;"><strong>Guide for GitLab</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-gitlab.md">Guide for GitLab</a></td></tr><tr><td><mark style="color:blue;"><strong>Guide for GitLab (Self-Managed)</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-gitlab-self-managed.md">Guide for GitLab (Self-Managed)</a></td></tr><tr><td><mark style="color:blue;"><strong>Guide for Bitbucket</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-bitbucket.md">Guide for Bitbucket</a></td></tr><tr><td><mark style="color:blue;"><strong>Guide for Bitbucket (Self-Managed)</strong></mark></td><td><a href="/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-bitbucket-self-managed.md">Guide for Bitbucket (Self-Managed)</a></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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.