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https://github.com/nayjest/gito

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.
https://github.com/nayjest/gito

ai code-analysis code-review github github-actions llm

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An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

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README

          

Gito: AI Code Reviewer



PYPI Release
PyLint
Tests
Code Coverage
License

**Gito** is an open-source **AI code reviewer** that works with any language model provider.
It detects issues in GitHub pull requests or local codebase changes—instantly, reliably, and without vendor lock-in.

Get consistent, thorough code reviews in seconds—no waiting for human availability.

## 📋 Table of Contents
- [Why Gito?](#-why-gito)
- [Perfect For](#-perfect-for)
- [Quickstart](#-quickstart)
- [1. Review Pull Requests via GitHub Actions](#1-review-pull-requests-via-github-actions)
- [2. Running Code Analysis Locally](#2-running-code-analysis-locally)
- [Configuration](#-configuration)
- [Guides & Reference](#-guides--reference)
- [Command Line Reference](https://github.com/Nayjest/Gito/blob/main/documentation/command_line_reference.md) ↗
- [Configuration Cookbook](https://github.com/Nayjest/Gito/blob/main/documentation/config_cookbook.md) ↗
- [GitHub Setup Guide](https://github.com/Nayjest/Gito/blob/main/documentation/github_setup.md) ↗
- Integrations
- [Linear Integration](https://github.com/Nayjest/Gito/blob/main/documentation/linear_integration.md) ↗
- [Atlassian Jira Integration](https://github.com/Nayjest/Gito/blob/main/documentation/jira_integration.md) ↗
- [Troubleshooting](https://github.com/Nayjest/Gito/blob/main/documentation/troubleshooting.md) ↗
- [Documentation generation with Gito](https://github.com/Nayjest/Gito/blob/main/documentation/documentation_generation.md) ↗
- [Development Setup](#-development-setup)
- [Contributing](#-contributing)
- [License](#-license)

## ✨ Why Gito?

- [⚡] **Lightning Fast:** Get detailed code reviews in seconds, not days — powered by parallelized LLM processing
- [🔧] **Vendor Agnostic:** Works with any language model provider (OpenAI, Anthropic, Google, local models, etc.)
- [🌐] **Universal:** Supports all major programming languages and frameworks
- [🔍] **Comprehensive Analysis:** Detect issues across security, performance, maintainability, best practices, and much more
- [📈] **Consistent Quality:** Never tired, never biased—consistent review quality every time
- [🚀] **Easy Integration:** Automatically reviews pull requests via GitHub Actions and posts results as PR comments
- [🎛️] **Infinitely Flexible:** Adapt to any project's standards—configure review rules, severity levels, and focus areas, build custom workflows

## 🎯 Perfect For

- Solo developers who want expert-level code review without the wait
- Teams looking to catch issues before human review
- Open source projects maintaining high code quality at scale
- CI/CD pipelines requiring automated quality gates

✨ See [code review in action](https://github.com/Nayjest/Gito/pull/99) ✨

## 🚀 Quickstart

### 1. Review Pull Requests via GitHub Actions

Create a `.github/workflows/gito-code-review.yml` file:

```yaml
name: "Gito: AI Code Review"
on:
pull_request:
types: [opened, synchronize, reopened]
workflow_dispatch:
inputs:
pr_number:
description: "Pull Request number"
required: true
jobs:
review:
runs-on: ubuntu-latest
permissions: { contents: read, pull-requests: write } # 'write' for leaving the summary comment
steps:
- uses: actions/checkout@v6
with: { fetch-depth: 0 }
- name: Set up Python
uses: actions/setup-python@v6
with: { python-version: "3.13" }
- name: Install AI Code Review tool
run: pip install gito.bot~=3.5
- name: Run AI code analysis
env:
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_API_TYPE: openai
MODEL: "gpt-5.2"
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER_FROM_WORKFLOW_DISPATCH: ${{ github.event.inputs.pr_number }}
run: |
gito --verbose review
gito github-comment --token ${{ secrets.GITHUB_TOKEN }}
- uses: actions/upload-artifact@v6
with:
name: ai-code-review-results
path: |
code-review-report.md
code-review-report.json
```

> ⚠️ Make sure to add `LLM_API_KEY` to your repository's GitHub secrets.

💪 Done!
PRs to your repository will now receive AI code reviews automatically. ✨
See [GitHub Setup Guide](https://github.com/Nayjest/Gito/blob/main/documentation/github_setup.md) for more details.

### 2. Running Code Analysis Locally

#### Initial Local Setup

**Prerequisites:** [Python](https://www.python.org/downloads/) 3.11 / 3.12 / 3.13

**Step 1:** Install [gito.bot](https://github.com/Nayjest/Gito) using [pip](https://en.wikipedia.org/wiki/Pip_(package_manager)).
```bash
pip install gito.bot
```

> **Troubleshooting:**
> pip may also be available via cli as `pip3` depending on your Python installation.

**Step 2:** Perform initial setup

The following command will perform one-time setup using an interactive wizard.
You will be prompted to enter LLM configuration details (API type, API key, etc).
Configuration will be saved to `~/.gito/.env`.

```bash
gito setup
```

> **Troubleshooting:**
> On some systems, `gito` command may not become available immediately after installation.
> Try restarting your terminal or running `python -m gito` instead.

#### Perform your first AI code review locally

**Step 1:** Navigate to your repository root directory.
**Step 2:** Switch to the branch you want to review.
**Step 3:** Run following command
```bash
gito review
```

> **Note:** This will analyze the current branch against the repository main branch by default.
> Files that are not staged for commit will be ignored.
> See `gito --help` for more options.

**Reviewing remote repository**

```bash
gito remote git@github.com:owner/repo.git ..
```
Use interactive help for details:
```bash
gito remote --help
```

## 🔧 Configuration

Change behavior via `.gito/config.toml`:

- Prompt templates, filtering and post-processing using Python code snippets
- Tagging, severity, and confidence settings
- Custom AI awards for developer brilliance
- Output customization

You can override the default config by placing `.gito/config.toml` in your repo root.

See default configuration [here](https://github.com/Nayjest/Gito/blob/main/gito/config.toml).

More details can be found in [📖 Configuration Cookbook](https://github.com/Nayjest/Gito/blob/main/documentation/config_cookbook.md)

## 📚 Guides & Reference

For more detailed information, check out these articles:

- [Command Line Reference](https://github.com/Nayjest/Gito/blob/main/documentation/command_line_reference.md)
- [Configuration Cookbook](https://github.com/Nayjest/Gito/blob/main/documentation/config_cookbook.md)
- [GitHub Setup Guide](https://github.com/Nayjest/Gito/blob/main/documentation/github_setup.md)
- Integrations
- [Linear Integration](https://github.com/Nayjest/Gito/blob/main/documentation/linear_integration.md)
- [Atlassian Jira Integration](https://github.com/Nayjest/Gito/blob/main/documentation/jira_integration.md)
- [Documentation generation with Gito](https://github.com/Nayjest/Gito/blob/main/documentation/documentation_generation.md)
- [Troubleshooting](https://github.com/Nayjest/Gito/blob/main/documentation/troubleshooting.md)

Or browse all documentation in the [`/documentation`](https://github.com/Nayjest/Gito/tree/main/documentation) directory.

## 💻 Development Setup

Install dependencies:

```bash
make install
```

Format code and check style:

```bash
make black
make cs
```

Run tests:

```bash
pytest
```

## 🤝 Contributing

**Looking for a specific feature or having trouble?**
Contributions are welcome! ❤️
See [CONTRIBUTING.md](https://github.com/Nayjest/Gito/blob/main/CONTRIBUTING.md) for details.

## 📝 License

Licensed under the [MIT License](https://github.com/Nayjest/Gito/blob/main/LICENSE).

© 2025–2026 [Vitalii Stepanenko](mailto:mail@vitaliy.in)