Git AutoReview
AI code review for GitHub, GitLab & Bitbucket—you approve every comment before it's published.
We'd pick this for solo devs and small teams who want AI review speed without losing control. Per-team pricing beats CodeRabbit's per-user cost, and the human approval step is a real differentiator. Compared to CodeRabbit ($24/user/mo) or Cursor Bugbot ($40/user/mo), Git AutoReview's $12.49/team/mo for up to 25 people is dramatically cheaper—50% cheaper than CodeRabbit on a per-team basis. Skip it if you need SSO, a web dashboard, or fully automated review.
Verified 7d ago · liveness 78/100 · cite: rightaichoice.com/tools/git-autoreview
- Solo developers and freelancers wanting AI review without losing control
- Small to mid-sized teams (up to 25) wanting affordable per-team pricing
- Teams using Bitbucket Server or Data Center (often neglected by competitors)
- Privacy-conscious developers who want BYOK and no code storage
- Large enterprises requiring SSO, SLA, or unlimited repositories
- Teams wanting fully automated, hands-off AI review that auto-posts
- Organizations without a VS Code usage habit (primary extension)
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Skip Git AutoReview if you need fully automated, hands-off AI review that auto-posts comments, or if you require SSO, a web dashboard, or an API for custom integrations.
BYOK means you pay your AI provider directly (Claude, Gemini, or GPT) roughly $2-5/mo on top of the subscription, which adds up for heavy usage.
Git AutoReview's pricing fits solo developers and small teams (up to 25) who want AI review without per-user costs. At $12.49/mo per team (annual), it's 50% cheaper than CodeRabbit's $24/user/mo and far less than Cursor Bugbot's $40/user/mo. For a 10-person team, that's $149.90/year vs CodeRabbit's $2,880/yr.
In short
Git AutoReview — AI code review for GitHub, GitLab & Bitbucket—you approve every comment before it's published. Best for Solo developers and freelancers wanting AI review without losing control, Small to mid-sized teams (up to 25) wanting affordable per-team pricing, Teams using Bitbucket Server or Data Center (often neglected by competitors). Free to start; paid plans from $8.3399/mo.
What's new in Git AutoReview
Checked 7 days agoAcross the latest 4 updates: 2 feature updates and 2 changelog entries.
v1.21.9 Fixed—Clear message when Claude usage limit is reached
Agent reviews now show a clear message when your Claude usage limit is reached, including when it resets, instead of a generic timeout.
v1.21.8 Improved—Reviews keep code context, faster agent reviews
Fixes code index corruption, makes agent reviews faster, and reduces the extension package size by 1.3 MB.
v1.21.6 Fixed—Reliable reviews on newest Claude models, accurate model info for GPT-5.6 Luna
Fixes empty results on Claude Opus 5, Sonnet 5, and Fable 5; Gemini 3.5 Flash pairs with Claude Opus 5 in Thorough preset; GPT-5.6 Luna shows true 1M context.
v1.21.5 New—Latest AI models in picker
Adds Claude Opus 5, Sonnet 5, Fable 5, Gemini 3.6 Flash, and GPT-5.6 (Sol, Terra, Luna) options. Defaults to Gemini 3.6 Flash and GPT-5.6 Terra for new installs.
Viability Score
How well maintained and how widely used is Git AutoReview? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Human-in-the-loop approval: review, edit, reject AI comments before publishing
- Multi-model AI: runs Claude, Gemini, GPT in parallel, smart-merges findings
- Deep Review (Agent Mode): explores full codebase, runs linter, checks tests
- Full project context: sees related files, imports, dependencies, not just diff
- Jira integration: reads ticket context, verifies acceptance criteria
- Security scanning: 20+ built-in rules + AI security pass (SQLi, XSS, secrets)
- Confidence scoring: 0-100% per finding, filter low-confidence noise
- Code quality scores: 6 categories (design, clarity, error handling, complexity, testability, production readiness)
- Review Profiles: named configs for models, API keys, prompts, rules
- .gitautoreview.md config file: team-wide rules versioned in git
- BYOK (Bring Your Own Key): code goes directly to AI provider, zero storage on servers
- VS Code extension: native editor integration, install in 30 seconds
- Supports GitHub Cloud & Enterprise, GitLab Cloud & Self-Managed, Bitbucket Cloud, Server & Data Center
- Dual-Model mode: compare two models side-by-side
- Claude CLI Agent: use Claude Code subscription for reviews
About Git AutoReview
Git AutoReview is a VS Code extension that brings AI-powered pull request reviews to GitHub, GitLab, and Bitbucket, but with a critical twist: every AI comment starts as a draft that you must approve, edit, or reject before it's published to your team. You keep full authorship and responsibility. It runs Claude, Gemini, and GPT in parallel, smart-merging their findings to catch more issues across security, logic, and style. With BYOK (Bring Your Own Key), your code goes directly to your AI provider—never stored on Git AutoReview servers—so privacy is built in.\n\nKey features include Deep Review (Agent Mode), where the AI explores your full codebase, runs linters, checks tests, and traces data flow; Jira integration that reads ticket context and verifies acceptance criteria against the diff; confidence scoring (0-100%) on every finding so you can filter low-signal noise; and code quality scores across six categories: design, clarity, error handling, complexity, testability, production readiness. You get review profiles for named model/prompt configurations, and .gitautoreview.md config files versioned in git for team-wide rules—like .eslintrc for AI review.\n\nThe extension supports GitHub Cloud & Enterprise, GitLab Cloud & Self-Managed, and Bitbucket Cloud, Server & Data Center—including the often-neglected Bitbucket Server/DC. It's free for 10 reviews/day, and paid plans start at $8.33/mo (annual) for solo developers and $12.49/mo (annual) for teams of up to 25, with per-team pricing, not per-user. A 7-day refund is available on first purchase.\n\nThis is a tool for senior engineers and smaller teams (up to 25) who want AI assistance without surrendering final say. It's not for enterprises needing SSO, SLA, or a web dashboard. Compared to CodeRabbit or Qodo, which auto-publish and bill per user, Git AutoReview gives you control and per-team pricing. If you need fully automated review or enterprise compliance, consider those alternatives.
Behind the Verdict
Git AutoReview fills a specific niche: AI-assisted code review that respects the developer's final say. The cornerstone is human-in-the-loop—every AI comment is a draft that you must approve, edit, or reject before it's published. This is a distinctive philosophy compared to auto-publishing tools like CodeRabbit or Qodo. For teams that value code ownership and want to avoid the noise and false positives of fully automated review, this is a compelling middle ground.\n\nThe multi-model approach (Claude, Gemini, GPT running in parallel) is a practical way to catch more issues, and the smart-merging of findings reduces duplication. The confidence scoring (0-100%) lets you filter out low-signal noise, which is a thoughtful touch for maintaining signal quality. Deep Review (Agent Mode) goes beyond the diff, exploring the full codebase, running linters, and checking tests—this is genuinely useful for complex PRs.\n\nFrom a privacy standpoint, BYOK (Bring Your Own Key) means your code goes directly to your AI provider (Anthropic, Google, or OpenAI) without touching Git AutoReview's servers. This is a significant plus for security-conscious teams, especially those on Bitbucket Server/Data Center that other tools often neglect.\n\nHowever, there are trade-offs. Git AutoReview is a VS Code extension only—no web-based client or API for custom integrations. This limits its use for teams that don't standardize on VS Code or that need to integrate review into CI/CD pipelines directly. The free tier is limited to 10 reviews/day, which is enough to test but not for daily heavy use. BYOK incurs AI provider costs (roughly $2-5/mo for typical use), which some teams might not budget for.\n\nWhere it fits: solo developers, freelancers, and small to mid-sized teams (up to 25) who want AI assistance without losing control, and especially teams using Bitbucket Server/DC. Where it doesn't: large enterprises requiring SSO, SLA, or a web dashboard; teams wanting fully automated, hands-off review; or teams on JetBrains IDEs (no JetBrains plugin mentioned).
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Real-world workflow fit
Concrete scenarios for the personas Git AutoReview actually fits — and what changes day-one when you adopt it.
You're a freelancer reviewing a client PR before merging. Install the extension, add your OpenAI API key, connect your GitHub repo, and click Review. The AI analyzes the diff and returns suggestions in minutes. You approve or edit each one before publishing to the PR.
Outcome: You catch bugs you'd miss and post a professional review in under 5 minutes, without committing to a paid plan.
Your team of 8 uses Bitbucket Server. You set up a shared team API key, add the .gitautoreview.md config with your team's rules, and each developer reviews PRs from VS Code. The AI runs Claude, Gemini, and GPT in parallel, and you approve or reject before comments go live.
Outcome: Your team reviews PRs 80% faster with consistent standards, and you keep control over what gets published.
Your team uses Jira to track tickets. You connect Jira, and Git AutoReview reads the ticket context and acceptance criteria for each PR. The AI verifies each AC against the diff, highlighting gaps before your QA team even looks.
Outcome: PRs are linked to requirements, and acceptance criteria are checked automatically, reducing back-and-forth and missed requirements.
Use Cases
- Review pull requests in under 2 minutes with AI-generated suggestions, then approve or edit before posting.
- Run Claude, Gemini, and GPT in parallel to catch architecture smells, security gaps, and logic errors other models miss.
- Integrate Jira ticket context into code review to verify acceptance criteria against the diff.
- Enable solo developers to get AI-assisted code review without a dedicated peer review team.
- Maintain consistent code review standards across GitHub, GitLab, and Bitbucket from a single VS Code extension.
- Use for teams on Bitbucket Server or Data Center where other AI review tools lack support.
- Configure team-wide review rules via .gitautoreview.md for consistent standards.
- Use Deep Review (Agent Mode) for complex PRs, running linters and tests for thorough analysis.
Models Under the Hood
as of 2026-08-17
Limitations
- Free tier limited to 10 AI reviews per day.
- BYOK requires your own API keys and incurs AI provider costs.
- Primarily a VS Code extension; no web-based client or API for custom integrations.
- Per-team pricing, not per-user.
as of 2026-08-17
Verification history
We have re-verified Git AutoReview 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Git AutoReview tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers or curious teams who want to test AI review with zero cost, reviewing up to 10 PRs per day on a single repository.
What this tier adds
Starting free tier: 10 AI reviews per day, 1 repository, with BYOK and basic approval workflow.
Developer
$8.33/mo (annual, billed $99.90/yr)
Ideal for
Solo developers and freelancers who need more capacity (100 reviews/day) and multiple repositories, with Deep Review and custom rules.
What this tier adds
Adds 100 AI reviews/day, up to 10 repositories, Deep Review (Agent Mode), Review Profiles, 5 custom rules, and email support.
Team
$12.49/mo (annual, billed $149.90/yr)
Ideal for
Small to mid-sized teams (up to 25) that need unlimited reviews, full Jira integration, and 20 custom rules—all for one flat per-team price.
What this tier adds
Top tier: unlimited reviews and repositories, up to 25 team members, full Jira integration, 20 custom rules, basic analytics, and priority support.
Where the pricing makes sense
The company stage and team size where Git AutoReview's pricing actually pencils out — and where peers do it cheaper.
Git AutoReview's pricing fits solo developers and small teams (up to 25) who want AI review without per-user costs. At $12.49/mo per team (annual), it's 50% cheaper than CodeRabbit's $24/user/mo and far less than Cursor Bugbot's $40/user/mo. For a 10-person team, that's $149.90/year vs CodeRabbit's $2,880/yr.
Setup time & first value
How long it actually takes to get something useful out of Git AutoReview — broken out by persona, not the marketing-page minute.
Solo developer: ~5 minutes—install extension, add API key, connect repo, review first PR. Team lead: ~10 minutes—install, add team API key, configure .gitautoreview.md, invite members. You'll have your first AI review within 5 minutes, and full team setup takes under an hour.
Switching to or from Git AutoReview
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CodeRabbit: Export your review history (if any) and configure Git AutoReview's .gitautoreview.md to match your custom rules. Repositories connect in minutes via the Integrations tab.
- →From Qodo: Manually carry over your custom review rules into .gitautoreview.md and recreate review profiles. No automated import is provided.
- ↗To CodeRabbit or Qodo: Your review history is stored in the PRs themselves (each comment is a GitHub/GitLab/Bitbucket comment), so you can abandon the extension without losing anything. Export your .gitautoreview.md
- ↗To a CI-based review tool: Use the published comments as documentation; you'll need to set up the new tool's config from scratch.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Git AutoReview
Common stack mates teams adopt alongside Git AutoReview, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Git Autoreview vs Bito
Choose Bito if your team relies on AI coding agents (Cursor, Claude Code) and needs cross-repo context for architecture, scoping, and code generation — it’s unmatched for multi-repo awareness. Choose Git AutoReview if you want AI-assisted code review that puts a human in the loop to approve every comment, with per-team pricing that’s 50% cheaper than CodeRabbit. They solve different problems: Bito powers agents; Git AutoReview powers human-led PR reviews.
Git Autoreview vs Cognition Ai
Choose Cognition AI if your enterprise needs a fully autonomous AI engineer that can plan, code, test, and ship PRs end-to-end, especially for complex tasks like legacy COBOL modernization or cross-platform builds. Choose Git AutoReview if you're a small team or solo developer who values human oversight, privacy (BYOK), and affordable per-team pricing for AI-powered review that supports multiple models and platforms including Bitbucket Server.
Git Autoreview vs Poolside Ai
If you need a full AI development platform under strict governance (air-gapped, audit trails, custom models) for high-consequence software, Poolside AI is the choice but requires enterprise budgets. For most small-to-mid-sized teams that want AI-assisted code review without losing human control, Git AutoReview delivers a practical, affordable solution with per-team pricing and human-in-the-loop approval.
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