How to Deploy Open Code Review with Docker: Step-by-Step Tutorial
Deploy Alibaba's AI code reviewer on your own server in 15 minutes: Docker setup, Git provider integration, and tuning your first automated PR reviews.
In this tutorial you will deploy Open Code Review — Alibaba's open-source AI code review engine — on your own server using Docker, connect it to a GitHub repository, and get AI review comments on your first pull request. Total setup time: about 15 minutes.
🚀 Want to deploy Open Code Review yourself?
Docker configs, system requirements, and installation guides — all on one page.
View Open Code Review Tool Page →Step 1: Prerequisites
You need a Linux server with Docker and Docker Compose installed, at least 4 GB of RAM (8 GB recommended), and an API key for one of the supported model providers: OpenAI, Anthropic, or a local model via Ollama.
Step 2: Pull the image and configure
Create a working directory and pull the community image:
mkdir -p /opt/ocr && cd /opt/ocr docker pull hambn/open-code-review:latest
Next, create a docker-compose.yml that mounts your configuration and exposes the review service. The container handles the full review pipeline — fetching diffs, running static analysis, calling the LLM, and posting structured comments back.
Step 3: Connect your Git provider
Open Code Review integrates with GitHub, GitLab, and Bitbucket. For GitHub, create a fine-grained access token with pull request read/write permissions for the repositories you want reviewed.
Step 4: Review your first pull request
Open a pull request in a connected repository. Within seconds you will see the AI reviewer comment inline: potential logic errors, security concerns, and style suggestions — each with a clear explanation. The hybrid engine runs deterministic rules locally, so even slow LLM responses never block the fast, rule-based checks.
Step 5: Tune it to your standards
| Setting | Effect |
|---|---|
| Rule severity | Control which findings block a merge |
| Model choice | Swap providers per cost/quality needs |
| Scope filters | Skip docs, vendored code, or generated files |
Start with default rules, review a few PRs, then tighten the thresholds. Because everything is self-hosted, your review data stays private and you can iterate freely without per-call billing surprises.
🚀 Ready to run Open Code Review?
Get the exact Docker Compose config and system requirements on the tool page.
View Open Code Review Tool Page →That is it — your team now has an always-on AI reviewer that scales from a weekend project to enterprise monorepos. Deploy it today and let the machines handle the nitpicking.