Website · Community · Docs · CLI Docs · Try Kodus Cloud · Self-Host Guide
🌐 English · Português (BR) · Español · 日本語 · 简体中文 · Français
## Why Teams Choose Kodus - **Model Agnostic**: Use Claude, GPT-5, Gemini, Llama, GLM, Kimi or any OpenAI-compatible endpoint. - **Zero Markup on LLM Costs**: You pay model providers directly. No hidden multipliers. - **Learns from Your Context**: Kody adapts to your architecture, standards, and workflow. - **You Set the Rules**: Define custom review rules in plain language. - **Privacy & Security**: Source code is not used to train models, data is encrypted in transit and at rest, and self-hosted runners are supported. Self-hosted instances send one anonymous heartbeat per day (aggregated counters only — no code, names, or identifiers); opt out with `KODUS_TELEMETRY_DISABLED=true`. See [Anonymous Telemetry](https://docs.kodus.io/how_to_deploy/en/deploy_kodus/telemetry). - **Native Git Workflow**: Works directly in PRs with GitHub, GitLab, Bitbucket, and Azure Repos. - **CLI + CI/CD Ready**: Run reviews locally and in pipelines. - **Operational Impact**: Track technical debt and delivery metrics while keeping review quality high. ## Product Highlights
|
Try Kodus Cloud
Start reviewing pull requests without managing infrastructure. Create a free account · View pricing |
Self-host Kodus
Deploy Kodus on your own infrastructure with control over data, models, and runtime configuration. Installation guide |
|
Use the CLI
Run AI code reviews from your terminal against a working tree, staged diff, branch, or commit. kodus review
kodus review --staged
kodus review --prompt-only
CLI overview · Command reference · CI/CD |
Contribute Locally
Run the Kodus monorepo locally for development across the API, worker, webhooks service, web app, and local infrastructure. git clone https://github.com/kodustech/kodus-ai.git
cd kodus-ai
yarn setup
Local quickstart |


