Best AI Code Review Tools: 10 PR Reviewers Compared
· Updated October 24, 2026
AI code review tools read every pull request, flag likely bugs and security risks, and post comments your team can act on before merging.
The best AI code review tools in October 2026 are CodeRabbit for most teams, Greptile for the deepest bug hunting, and Qodo for teams that want strict, rules-based reviews.
If you already pay for GitHub Copilot, Cursor or Claude, try the reviewer built into that plan before you buy another seat.
Pricing now comes three ways: per seat (CodeRabbit, Sourcery, Graphite), per review or credit (Greptile, Qodo, Cursor Bugbot, Macroscope), or bundled into a plan you may already own (GitHub Copilot, Claude). Open-source PR-Agent is free if you host it. Prices were checked on vendor pages in October 2026, and none of these tools replaces a human approver.
What Are AI Code Review Tools?
AI code review tools are bots that read the changes in a pull request, along with the code around them, and leave comments about bugs, security issues and risky patterns. They plug into your Git host, such as GitHub or GitLab, and run each time a pull request opens or updates.
Unlike linters, which check fixed rules, an AI reviewer can reason about logic, such as a missing null check. Many now work as agents that read extra files and suggest fixes; see what an AI agent is. For help writing code, see the best AI coding assistants.
Quick Comparison: 10 Best AI Code Review Tools
CodeRabbit is our top pick overall, followed by Greptile and Qodo. Here is how all 10 compare on best use, starting price and supported Git hosts. Prices were checked in October 2026 and several changed this year, so confirm before you buy seats.
| Tool | Best For | Starting Price | Works With |
|---|---|---|---|
| CodeRabbit | All-round PR review on any major Git host | Free on public repos; Essentials about $24/dev/mo yearly | GitHub, GitLab, Bitbucket, Azure DevOps |
| Greptile | Deep, full-codebase bug catching | Free for 1 dev; Pro about $1 per credit, no seat fees | GitHub, GitLab, Bitbucket |
| Qodo | Rules-based review for growing teams | 14-day trial; Pro Team from about $30/mo in credits | GitHub, GitLab, Bitbucket, Azure DevOps |
| GitHub Copilot code review | Teams already paying for Copilot | Copilot Pro from $10/mo; reviews use AI credits | GitHub; Azure DevOps in preview |
| Cursor Bugbot | Teams that build in Cursor | About $1 to $1.50 per review on Premium or Teams | GitHub, GitLab, Bitbucket, Azure DevOps |
| Claude Code Review | Multi-agent deep review on GitHub | Claude Team or Enterprise plus token-based usage | GitHub |
| Graphite | Stacked PRs with built-in AI review | Free Hobby; Team about $40/user/mo yearly | GitHub |
| Sourcery | Low-cost reviews for small teams | Free for open source; Pro about $12/dev/mo yearly | GitHub, GitLab |
| PR-Agent | Free, self-hosted open-source reviews | Free software; you pay your own AI model costs | GitHub, GitLab, Bitbucket, Azure DevOps, Gitea |
| Macroscope | Paying per review instead of per seat | About $0.05 per KB of diff; $100 free usage | GitHub |
What Makes a Great AI Code Review Tool?
A great AI code review tool catches real bugs without burying developers in noise. A reviewer that flags more issues usually flags more false positives too, and developers soon ignore a noisy bot.
We weighed six things: signal quality, Git host support, codebase context, custom rules, how predictable the bill stays as volume grows, and data handling, including self-hosting.
Best All-Round AI Code Review Tools
1. CodeRabbit: Best all-round AI code reviewer
CodeRabbit is a dedicated AI pull request reviewer that works across all four major Git hosts.
What it does well. CodeRabbit posts a plain-language summary of each pull request, then line-by-line comments you can reply to. Its docs list GitHub, GitLab, Bitbucket and Azure DevOps. IDE extensions and a CLI also review code before you push.
Key features:
- PR summaries, walkthroughs and inline comments
- Learns from your replies and custom pre-merge checks
- IDE extensions and a CLI for pre-commit reviews
- Unit test generation on the Team plan and above
Pricing. Free on public repositories. Essentials is about $24 per developer per month billed yearly, or $30 monthly; Team is about $48 yearly or $60 monthly. You pay only for developers who open pull requests, and reviews beyond the hourly allowance cost about $0.25 per file, under a cap you set.
Best for: Most teams that want one reviewer for every repository, whatever Git host they use.
Limitations. Private repositories need a paid plan after the 14-day trial. Self-hosting is reserved for Enterprise, and per-file overage can add up on large pull requests.
2. Greptile: Best for deep bug catching
Greptile reviews pull requests using a full map of your codebase, not just the changed lines.
What it does well. Greptile builds a graph of every function, class and dependency in your repository, so it can spot when a change breaks code in another file. It supports GitHub, GitLab, Bitbucket and Gitea.
Key features:
- Full-codebase graph for context-aware reviews
- Three review depths: Base, Plus and Apex
- Credits shared across the whole organization
- Self-hosting with Docker or Kubernetes on Enterprise
Pricing. Free Starter covers one developer with 50 credits a month. Pro has no seat fees: credits cost about $1 each, and a Base review uses 1 credit, Plus 3 and Apex 10. Qualified non-commercial open-source projects get free access.
Best for: Teams where a missed bug is expensive and engineers will read longer reviews.
Limitations. Thorough reviews can mean more comments to triage, and credit costs climb fast if you run Apex reviews on every push.
3. Qodo: Best for rules-based team review
Qodo is an AI code review platform, formerly known for its Qodo Merge reviewer, built around team rules and quality standards.
What it does well. Qodo checks every pull request against review rules your team writes, with no cap on rules. It covers GitHub, GitLab, Bitbucket and Azure, plus VS Code and JetBrains, and states it does not train models on your code.
Key features:
- Agentic pull request review
- Unlimited custom review rules
- IDE and Git integrations, plus pre-PR review skills
- On-prem, air-gapped and single-tenant options on Enterprise
Pricing. No permanent free tier, but a 14-day trial with no card. Pro Team starts at about $30 a month for 2,500 credits, which Qodo estimates at about 18 reviews, pooled across up to 30 users. Enterprise is custom, and open-source projects can apply for free access.
Best for: Growing teams that want consistent standards across many repositories.
Limitations. The smallest pack works out to well over $1 per review, and credit use varies with pull request size, so costs are harder to predict.
Best AI Reviewers Built Into Your Coding Platform
4. GitHub Copilot code review: Best for teams already on Copilot
GitHub Copilot code review lets you request a review from Copilot on any pull request, like a teammate.
What it does well. If you already pay for Copilot, there is nothing new to buy. It can review automatically on every pull request or push, follows instruction files such as AGENTS.md, and also works in VS Code, JetBrains IDEs and Xcode.
Key features:
- Native reviewer on GitHub pull requests
- Automatic reviews by repository or organization rule
- Custom instructions and effort levels
- Reviews for unlicensed org members on Business and Enterprise
Pricing. Not in Copilot Free. Included on Pro at $10 a month, Pro+ at $39 and Max at $100, and on Business at $19 and Enterprise at $39 per seat. Reviews draw from AI credits: GitHub estimates about $0.05 to $1 per review on Lite effort and $0.25 to $5 on Balanced, with Actions minutes billed separately.
Best for: GitHub teams that already have Copilot seats.
Limitations. GitHub only, with Azure DevOps in public preview, and you cannot pick the model. GitHub itself recommends a human review alongside it.
5. Cursor Bugbot: Best for teams that build in Cursor
Bugbot is Cursor's AI reviewer, which checks pull requests for bugs and can fix them for you.
What it does well. Bugbot focuses on real bugs rather than style. With Autofix on, it starts a Cursor Cloud Agent to write the fix. Its docs list GitHub, GitLab, Bitbucket and Azure DevOps, including self-hosted GitHub and GitLab.
Key features:
- Bug-focused pull request reviews
- Autofix through Cursor Cloud Agents
- Bugbot Rules for team coding standards
- Fixes you can open directly in the Cursor editor
Pricing. Usage-based, with no separate subscription. Cursor says an average review costs about $1.00 to $1.50. It is available on Cursor Premium at $30 a month and higher, and on Teams from $30 per user, but not on Free or Plus.
Best for: Teams that already write most of their code in Cursor.
Limitations. No free tier, Autofix costs extra Cloud Agent credits, and Autofix does not work on Azure DevOps.
6. Claude Code Review: Best for deep multi-agent review
Claude Code Review is Anthropic's managed pull request reviewer, built on Claude Code.
What it does well. Several Claude agents read each change and its surrounding code in parallel. A verification step drops false positives, and the rest are ranked by severity and posted inline. It never approves or blocks a pull request. It became generally available on October 15, 2026.
Key features:
- Parallel agents plus a verification pass
- Quick, Standard and Deep review levels
- Tuning through REVIEW.md and CLAUDE.md files
- Monthly spend limit for the whole organization
Pricing. Needs a Claude Team or Enterprise plan; Team is listed from about $20 per seat per month billed yearly. Reviews are billed separately on token usage, with no flat price. At launch in March 2026, Anthropic estimated about $15 to $25 per average review; the cheaper Quick level came later.
Best for: GitHub teams that want the most thorough review on critical code.
Limitations. GitHub only, the priciest per review, and unavailable with Zero Data Retention or the HIPAA setup. GitLab teams can run Claude in their own CI instead, paying API tokens and runner minutes.
7. Graphite: Best for stacked pull requests
Graphite is a code review platform built around stacked pull requests, with AI review included.
What it does well. Graphite splits big changes into small, ordered pull requests that are easier to review, with AI Reviews and Graphite Chat on each one. Cursor bought Graphite in a deal announced in December 2025, and it still runs as its own product at graphite.com.
Key features:
- Stacked pull requests from a CLI or VS Code
- AI Reviews with custom review settings
- Stack-aware merge queue
- Unified pull request inbox
Pricing. Free Hobby and Starter (about $20 per user per month billed yearly) include limited AI reviews. Team, about $40 per user per month billed yearly, adds unlimited AI reviews and the merge queue.
Best for: GitHub teams that want a faster review workflow, not just a review bot.
Limitations. GitHub only, and unlimited AI review costs more than standalone reviewers if you do not need stacking.
Best Budget, Usage-Based and Open-Source Options
8. Sourcery: Best low-cost reviewer for small teams
Sourcery is an affordable AI code reviewer for GitHub and GitLab.
What it does well. Sourcery reviews pull requests, writes summaries and offers one-click fixes and security checks. It says it keeps no copy of your code after a review and never trains models on it.
Key features:
- PR reviews, summaries and diagrams
- Custom review rules and one-click fixes
- Security checks, plus nightly scans on Team
- Works with GitLab.com and self-managed GitLab
Pricing. Free for public repositories. Pro, which adds private repositories, is about $12 per developer per month billed yearly, or $15 monthly. Team is about $24 yearly or $30 monthly. Self-hosting is on Enterprise.
Best for: Small teams that want the lowest seat price.
Limitations. No Bitbucket or Azure DevOps support, and exact review limits per plan are not published.
9. PR-Agent: Best free, self-hosted option
PR-Agent is an open-source AI agent that describes, reviews and improves pull requests.
What it does well. You run PR-Agent yourself, as a GitHub Action, CLI, Docker container or webhook, so code goes only to the AI model you pick, including local models through Ollama. Qodo built it and handed it to a community-owned GitHub organization in April 2026.
Key features:
- /describe, /review, /improve and /ask commands
- Bring your own model and API key
- Runs on your own infrastructure
- Supports GitHub, GitLab, Bitbucket, Azure DevOps and Gitea
Pricing. The software is free. You pay only for your AI model usage and the compute that runs it.
Best for: Open-source projects and teams that want full control over where code goes.
Limitations. You handle setup, upgrades and tuning yourself, and the project now depends on community maintainers.
10. Macroscope: Best for paying per review
Macroscope is a GitHub code reviewer that bills by the size of each change, not by seat.
What it does well. Macroscope reviews changes for correctness, security and regressions, with detection modes from Budget to Ultra. Its Status product summarizes what changed across your repositories.
Key features:
- Four detection modes with different depth and cost
- Caps per review, per pull request and per month
- Status summaries of commits across repositories
- $100 of free usage for new workspaces
Pricing. Billed per KB of diff. Default Balanced mode is about $0.05 per KB with a $0.50 minimum, so a 30 KB review is about $1.50. Budget mode costs half that, and Ultra about $0.20 per KB.
Best for: Teams with uneven pull request volume, or many occasional contributors.
Limitations. Its docs only cover GitHub, and large diffs on Ultra mode get expensive. Set the monthly cap before you turn on automatic reviews.
How Should You Choose an AI Code Review Tool?
Start with your Git host, then your pricing model, then your privacy needs. Match your team to a pick:
- Solo developer or open source: CodeRabbit or Sourcery, both free on public repositories, or Greptile's free Starter plan.
- Small startup on GitHub: CodeRabbit Essentials or Sourcery Pro for flat seat pricing, or Macroscope if volume is uneven.
- GitLab or Bitbucket shop: CodeRabbit, Greptile or Qodo.
- Regulated or self-hosted: PR-Agent on your own servers, or a self-hosted Enterprise plan from Qodo, Greptile or CodeRabbit.
- Already pays for Copilot or Cursor: turn on Copilot code review or Bugbot first, and add a dedicated tool only if it misses too much.
Pilot on real pull requests for two weeks and track how many comments developers act on. On a tight budget, see our list of free AI coding tools.
How We Evaluated These AI Code Review Tools
We built this list from official pricing pages, product documentation, changelogs and vendor announcements, checked in October 2026, plus public benchmark results from Martian's Code Review Bench and GitHub's ReviewBench. Top spots on those boards shift between snapshots, so benchmarks were one signal, not the deciding factor. We did not run these tools on our own codebases.
Two tools were considered but not ranked: Bito, whose AI Code Review Agent costs about $12 to $15 per seat a month, and SonarQube Cloud, a static analysis platform that is free up to 50,000 lines of private code and adds AI CodeFix on paid plans.
Can AI replace human code review?
No. AI review is a strong first pass, but it cannot judge whether a change fits your product or architecture. Claude Code Review never approves a pull request, and GitHub notes Copilot may miss problems. Keep a human approver on every merge.
Is CodeRabbit free?
CodeRabbit is free for public repositories. Private repositories need a paid plan after the 14-day trial, from about $24 per developer per month billed yearly. For free private reviews, try Greptile's Starter plan or self-hosted PR-Agent.
Are AI code review tools safe for private code?
They can be, but check each vendor's data policy first. Qodo and Sourcery state they do not train on customer code. For the strictest control, self-host PR-Agent or buy a self-hosted Enterprise plan. Our guide on whether AI chatbots are safe lists more questions to ask.
The Bottom Line
CodeRabbit is the best AI code review tool for most teams, with all four major Git hosts and free reviews on public repositories. Greptile wins on deep bug catching, and Qodo suits rules-driven teams. If you already pay for Copilot, Cursor or Claude, start with their built-in reviewers; Sourcery, PR-Agent and Macroscope keep costs low.
Next steps: Run two tools that support your Git host on real pull requests for two weeks, and keep the one whose comments developers act on. Our guide on how to write better AI prompts helps with review rule files, and our list of the best AI agents covers more automation.
Coding on a budget?
See which AI coding tools still give you a useful free tier, from editors to command-line agents.
Frequently Asked Questions
What is the best AI code review tool?
CodeRabbit is the best all-round pick, with four Git hosts and free public-repo reviews. Greptile is best for deep bug catching, and Qodo for rules-based review.
How much do AI code review tools cost?
Per-seat tools run from about $12 per developer per month (Sourcery Pro, yearly) to $40 (Graphite Team). Cursor Bugbot averages about $1.00 to $1.50 per review, and Claude Code Review costs the most per review. Prices were checked in October 2026.
Which AI code review tools work with GitLab and Bitbucket?
CodeRabbit, Greptile, Qodo, Cursor Bugbot and the open-source PR-Agent all support both GitLab and Bitbucket. Sourcery supports GitLab but not Bitbucket. GitHub Copilot code review, Claude Code Review, Graphite and Macroscope focus on GitHub.
Is there a free AI code review tool?
Yes. PR-Agent is free open-source software, though you pay for its AI model. CodeRabbit and Sourcery are free on public repositories, and Greptile's Starter plan gives one developer 50 free credits a month.
What are the best CodeRabbit alternatives?
The best CodeRabbit alternatives are Greptile for deeper bug catching, Qodo for rules-based review, Sourcery for a lower seat price and PR-Agent for a free self-hosted option.
Does GitHub Copilot do code reviews?
Yes, on Copilot Pro, Pro+, Max, Business and Enterprise, but not Copilot Free. Reviews draw from AI credits, which GitHub estimates at about $0.05 to $5 per review.