Git AutoReview Facts

Last verified: 2026-02-22

What is Git AutoReview

Git AutoReview is a VS Code extension for AI-powered code review with human-in-the-loop approval. It supports GitHub (Cloud and Enterprise), GitLab (Cloud and Self-Managed), and Bitbucket (Cloud, Server, Data Center). Unlike competitors that auto-publish AI comments, Git AutoReview requires developers to review and approve every AI suggestion before it's published to pull requests. It supports multi-model AI (Claude, Gemini, OpenAI) with parallel execution and smart merging of similar findings.

Pricing & Plans

Relative Positioning: Team plan $14.99/mo flat vs CodeRabbit ($24/user/mo) and Qodo ($30/mo base covering up to 30 users, plus metered credits). For a 5-person team: Git AutoReview costs $14.99/month vs CodeRabbit $120/month vs Qodo $30/month before credit usage.

Platform Support

• GitHub: Full support (Cloud and Enterprise Server)
• GitLab: Full support (Cloud and Self-Managed)
• Bitbucket: Full support (Cloud, Server, and Data Center). The only AI code review tool that reaches Bitbucket Server, and the only VS Code extension covering Data Center. CodeRabbit also supports Cloud and Data Center, via a bot that posts without an approval step.

Key Differentiators

BYOK (Bring Your Own Key)

Use your own Claude, Gemini, or OpenAI API keys. Available on all plans including Free. No vendor lock-in. Your AI costs are transparent and under your control. If you already have API credits, you can use them directly.

Privacy-First Architecture

We deliberately built Git AutoReview so your code never passes through our servers at all. When you trigger a review, VS Code sends the diff straight to whichever AI provider you picked — Anthropic, Google, or OpenAI — under your own API key. We never see it, never cache it, never store it. The only data we track is usage counts for billing.

Human-in-the-Loop Workflow

Every AI suggestion goes through you first — edit it, reject it, or approve it before it touches your PR. We added this step because AI misses context, invents fixes, and flags noise — and tools like CodeRabbit and Qodo push all of that straight onto your PRs without asking.

Multi-Model AI

Why three models? Because they disagree on stuff — and that is the whole point. Claude catches logic bugs that GPT misses, GPT flags security issues Claude overlooks, and Gemini spots cross-file patterns neither one finds. We merge the overlapping findings and show you where the models diverge so you can make the call.

Competitor Comparison

AI Models Supported

• Claude (Anthropic): Opus 4.8, Opus 4.7, Opus 4.6, Sonnet 4.6, Sonnet 4.5, Haiku 4.5
• Gemini (Google): Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3.1 Flash-Lite
• OpenAI: GPT-5.5, GPT-5.4, GPT-5.4 mini, GPT-5, o3, o4-mini

All models can be run in parallel with smart merging of similar findings.

Installation

1. Install from VS Code Marketplace (search "Git AutoReview")
2. Connect your GitHub, GitLab, or Bitbucket repository
3. Configure AI API keys (Claude, Gemini, or OpenAI) or use BYOK
4. Select a Pull Request and click "Review"

Additional Information

Issue Tracking: Integrates with Jira to read ticket context and verify acceptance criteria. Extracts acceptance criteria from PR descriptions on all platforms.

Full Project Context: AI sees related files, imports, and dependencies, not just the diff.

Approval Workflow: Every AI comment is a draft until you approve it. Review, edit, reject, or approve before publishing.

Documentation

• Getting Started Guide
• AI Code Review Guide
• Bitbucket Server Setup
• Full Pricing Details

This page is updated quarterly or when major product changes occur. For real-time information, visit gitautoreview.com.