🚀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 or automate code reviews with our AI Code Review Agent, you'll find everything you need below.
AI Architect
Prerequisites
Bito's AI Architect is currently invitation-only. To request access, contact support@bito.ai.
Install AI Architect
Bito offers two deployment options for AI Architect.
Bito-hosted (Fully managed by Bito — no infrastructure setup required)
Self-hosted (Run AI Architect on your own infrastructure for maximum control)
Bito-hosted
Log in to Bito Cloud and connect your Git provider.
From the Home screen, click Configure next to Set up AI Architect, then select the repositories you want indexed.
Bito indexes your repositories, builds the underlying knowledge graph, and notifies you once your indexes are ready.
Guide for Bito-hosted AI Architect →
Self-hosted
Download and install AI Architect with a single command.
curl -fsSL https://aiarchitect.bito.ai/install.sh | bashConfigure AI Architect with your Git and LLM credentials.
Configure your repositories
Start indexing to build knowledge graph of your codebase
Get your MCP server URL and access token
Connect Bito's AI Architect with your tools
AI Architect integrates with the tools you already use — from AI coding agents to project management and communication platforms.
Integrating with AI coding agents (Claude Code, Cursor, etc.) via MCP
Connect AI Architect to your AI coding agents using the one-command installer, which automatically configures Claude Code, Cursor, Windsurf, GitHub Copilot, and other compatible tools on your system.
Integrating with Jira
AI Architect integrates 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.
Integrating with Linear
Connect AI Architect with Linear to bring codebase-aware planning into your Linear workspace. AI Architect can analyze your codebase in the context of Linear issues to help teams move faster from planning to implementation.
Integrating with Slack
Bring AI Architect's codebase intelligence directly into your Slack workspace. Ask questions, get technical context, and collaborate on planning.
Integrating with Confluence
AI Architect can also connect to your Confluence workspace, treating your documentation as a first-class context source alongside your code and tickets.
When a Jira ticket has linked Confluence pages — RFCs, design docs, runbooks, acceptance criteria — AI Architect reads them automatically and grounds its implementation plan in what's already documented. You can also reference Confluence pages from Slack and ask AI Architect to create, update, or comment on pages from inside Jira or Slack.
This keeps planning, discussion, and documentation in sync — no tab-switching to copy context around.
Confluence integration guide →
Integrating with chat agents
AI Architect works with popular chat-based AI tools so you can query your codebase knowledge graph conversationally.
Integrating with Bito's AI Code Review Agent
AI Architect can work alongside Bito's AI Code Review Agent to provide richer, codebase-aware feedback on pull requests — combining live code review with deep knowledge of your system's architecture and history.
AI Code Reviews in Git
Sign up for Bito
Create your account at alpha.bito.ai to get started.
Configure agent settings
To customize your agent, go to Repositories 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.
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