# Quickstart

This guide will help you set up and start using Bito's AI-powered tools. Whether you're looking to enhance feedback of your coding agents with [AI Architect](https://docs.bito.ai/ai-architect/overview) or automate code reviews with our [AI Code Review Agent](https://docs.bito.ai/ai-code-reviews-in-git/overview), you'll find everything you need below.

### AI Architect

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### Install AI Architect

#### Bito-hosted

1. [Log in to Bito Cloud](https://alpha.bito.ai/) and connect your Git provider.
2. Provide your repository list to Bito
3. Bito indexes your repositories and builds a knowledge graph
4. Bito will provide you with MCP server URL and access token

[**Complete installation guide →**](https://docs.bito.ai/ai-architect/installation/install-ai-architect-bito-hosted)

#### Self-hosted

1. Download and install AI Architect with a single command.

   ```shellscript
   curl -fsSL https://aiarchitect.bito.ai/install.sh | bash
   ```
2. Configure AI Architect with your Git and LLM credentials.
3. Configure your repositories
4. Start indexing to build knowledge graph of your codebase
5. Get your MCP server URL and access token

[**Complete installation guide →**](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted)
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### Connect to Jira

AI Architect can integrate directly with your Jira workspace to bring codebase intelligence into the planning phase.

When an Epic or Story is created, AI Architect automatically analyzes your codebase and past tickets to generate a structured plan — covering feasibility assessment, technical design, and story breakdown — directly inside Jira.

This helps teams move faster from idea to implementation, with plans grounded in how your system actually works.

[**Follow the Jira integration guide**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/guide-for-jira)
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### Connect to your AI coding agent

Using the **Bito MCP URL** and **Bito MCP Access Token**, you can connect AI Architect to your AI coding tools **either through an automated installer or via manual configuration**, depending on your agent and environment.

* **Automated setup (recommended)**\
  The installer will automatically configure AI Architect for all compatible AI coding tools on your system.

  [**Quick MCP Integration Guide**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/quick-mcp-integration-with-ai-coding-agents)
* **Manual setup**

  If you prefer hands-on control over your configuration or encounter issues with automated setup, we provide detailed step-by-step guides for each supported AI coding tool:

  * [**Guide for Claude Code**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-claude-code)
  * [**Guide for Claude Desktop**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-claude-desktop)
  * [**Guide for Claude.ai (Web)**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-claude.ai-web)
  * [**Guide for Cursor**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-cursor)
  * [**Guide for Windsurf**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-windsurf)
  * [**Guide for GitHub Copilot (VS Code)**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-github-copilot-vs-code)
  * [**Guide for Junie (JetBrains)**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-junie-jetbrains)
  * [**Guide for JetBrains AI Assistant**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-jetbrains-ai-assistant)
  * [**Guide for ChatGPT (Web & Desktop)**](https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/manual-mcp-integration-with-ai-coding-agents/guide-for-chatgpt-web-and-desktop)
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### AI Code Reviews in Git

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### Sign up for Bito

Create your account at [alpha.bito.ai](https://alpha.bito.ai/home/welcome) to get started.
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### Connect your Git provider

Select your preferred Git platform and follow the guided setup to install the agent:

* [GitHub](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-github)
* [GitHub (Self-Managed)](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-github-self-managed)
* [GitLab](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-gitlab)
* [GitLab (Self-Managed)](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-gitlab-self-managed)
* [Bitbucket](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-bitbucket)
* [Bitbucket (Self-Managed)](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/guide-for-bitbucket-self-managed)

Once installed, the agent will be linked to your repositories and ready to assist.
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### Review pull requests

The AI agent will automatically review **new pull requests** and leave inline comments with suggestions.\
You can also **manually trigger a review** by commenting `/review` on any pull request.

[See full list of available commands](https://docs.bito.ai/ai-code-reviews-in-git/available-commands)
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### Chat with the agent

You can reply to comments posted by the Bito AI agent in a pull request to ask follow-up questions or request clarification. The agent will respond with context-aware answers to help you understand the feedback better.

[Learn more](https://docs.bito.ai/ai-code-reviews-in-git/chat-with-ai-code-review-agent)
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### Configure agent settings

To customize your agent, go to [Repositories](https://alpha.bito.ai/home/ai-agents/code-review-agent) and click the **Settings** button next to the relevant agent. From there, you can choose the review feedback mode, enable or disable automatic reviews, define custom guidelines to align with your team’s standards, and more.

[Learn more](https://docs.bito.ai/ai-code-reviews-in-git/install-run-using-bito-cloud/create-or-customize-an-agent-instance)
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