> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kodus.io/llms.txt
> Use this file to discover all available pages before exploring further.

# How to self-host an AI code review tool

> Deploy Kodus on your own infrastructure with full control over data, models, and configuration.

Kodus is open-source and can be self-hosted on your own infrastructure. This gives you full control over your data, network access, and LLM provider.

## Deployment options

### Docker (recommended)

Deploy Kodus using Docker Compose on any VM:

1. Clone the Kodus repository
2. Configure environment variables
3. Run `docker compose up`
4. Access the web UI and connect your Git provider

### Local development

For testing or contributing:

1. Use the orchestrator for a quick local setup
2. Includes all services in a single command

## What you control

* **Data** — all code and review data stays on your infrastructure
* **LLM provider** — use any provider or self-hosted models
* **Network** — runs behind your firewall, no external access required
* **Configuration** — full control over all settings

## Requirements

* Docker and Docker Compose
* Sufficient compute resources for the API and worker services
* Network access to your Git provider (GitHub, GitLab, Bitbucket)

For the full deployment guide, see [Deploy with Docker](/how_to_deploy/en/deploy_kodus/generic_vm).
