Gito

What is Gito?

Gito is an open-source AI code reviewer that finds problems in GitHub pull requests or in the changes sitting in your local repository. It runs as a Python package called gito.bot, either inside a GitHub Actions or GitLab CI workflow that posts its findings as pull request comments, or from the command line with the gito review command. You supply the model: OpenAI-compatible APIs, Anthropic, Google, local services such as Ollama and vLLM, or coding-agent command-line tools all work. Your code goes straight from the runner or your machine to that provider, and Gito keeps no copy. Per-repository settings in a .gito/config.toml file change the review prompts, report templates, severity levels and mention triggers, and Jira and Linear integrations are available. Gito is free and MIT-licensed, and the only spend is whatever your model provider charges.

Use cases

• Review pull requests automatically in CI
• Check local branch changes before opening a PR
• Catch security and performance issues early
• Enforce team review rules with custom prompts
• Run code review on a self-hosted local model
• Link review findings to Jira or Linear

Who it's for

• Solo developers
• Engineering teams
• Open source maintainers
• DevOps engineers

Why use Gito

• It does not tie you to one model vendor, so you can switch providers or keep reviews on a local model.
• Source code travels from your runner to your chosen provider with no middleman, and Gito stores nothing.
• Pull requests get a first-pass review within a CI workflow, before a human reviewer looks at them.
• Review prompts, severity levels and report templates can be tuned to each repository.
• The code is MIT-licensed, so you can audit it and there is no subscription.

Gito features

• Reviews GitHub pull requests through GitHub Actions workflows
• GitLab CI support, listed as beta
• Local review of branch changes with the gito review command
• Works with OpenAI-compatible APIs, Anthropic and Google models
• Runs on local models such as Ollama, vLLM, llama.cpp and LM Studio
• Posts results as PR comments and reacts to maintainer mentions
• Project settings in .gito/config.toml for prompts, templates and severity
• Jira and Linear issue tracker integrations
• Windows standalone installer and pip package

Gito integrations

• GitHub
• GitLab
• Jira
• Linear
• OpenAI
• Anthropic
• Google
• Ollama
• vLLM
• Claude Code
• Gemini CLI
• Amazon Bedrock
• OpenRouter
• Azure

How to get started with Gito

1. Add a gito-code-review workflow file to .github/workflows, or run gito deploy to generate one.
2. Store your LLM_API_KEY as a repository secret and choose the API type and model.
3. Open or update a pull request so the workflow installs gito.bot and runs the review.
4. Gito posts its findings as a pull request comment and saves report files as workflow artifacts.
5. Locally, run gito setup once, then gito review on a branch to check changes before you push.

Gito limitations

• You bring and pay for your own LLM provider and API key
• Cannot edit files in .github/workflows when acting on PR comments, due to a GitHub token restriction
• Bitbucket support is listed as planned, and GitLab as beta

Gito pricing

Gito is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Gito alternatives

The main Gito alternatives listed on Debuly are PR-Agent, CodeRabbit, Qodo, Greptile, Sourcery and GitHub Copilot. The table compares pricing and platforms; order is A–Z.

1. 

   CodeRabbit

   AI code review for pull requests, IDEs and the CLI, with pre-merge checks, one-click fixes, triage and security scans.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit CodeRabbit (official site)
2. 

   GitHub Copilot

   GitHub's AI coding assistant for code completion, chat and agents in VS Code, JetBrains, Visual Studio, the CLI and GitHub.com.

   CodingAutomation and agents
   FreemiumVisit GitHub Copilot (official site)
3. 

   Greptile

   AI pull request reviewer that maps your whole repository, so each review weighs the change against code outside the diff.

   CodingDeveloper platforms
   FreemiumVisit Greptile (official site)
4. 

   PR-Agent

   Open-source AI agent that describes, reviews and suggests improvements on pull requests across GitHub, GitLab and more.

   CodingDeveloper platformsAutomation and agents
   Open sourceVisit PR-Agent (official site)
5. 

   Qodo

   AI code review and governance for teams shipping agent-written code, with pull request review, IDE skills and rules enforcement.

   CodingAutomation and agentsDeveloper platforms
   Free trialVisit Qodo (official site)
6. 

   Sourcery

   AI code review for GitHub and GitLab pull requests with summaries, suggested fixes and security scanning, free on public repositories.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit Sourcery (official site)

Gito FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

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