AI code review tools read a pull request the way a senior engineer would: they look at the diff, pull in surrounding code, and leave comments about bugs, risky patterns and missing tests before a human reviewer spends time on it. In 2026 they moved from novelty to default. Most teams that ship with AI coding agents now pair them with an AI pull request review step, because the volume of generated code is too high for humans to read line by line.
The category has also consolidated. Cursor agreed to acquire Graphite in December 2025, Anthropic added a multi-agent Code Review feature to Claude Code in March 2026, and Korbit, an early entrant, announced it was shutting down. What remains is a mix of independent specialists, platform-native reviewers from GitHub, Cursor and Anthropic, and broader code health suites that bundle review with security scanning.
This list covers ten tools that are actively operating as of November 2026. We focused on what each one actually does with codebase context, which git platforms it supports, and how it charges, using each vendor’s own site and docs. If your team is also weighing the security side of AI-written code, our guide to vibe coding security risks covers the failure modes these reviewers are meant to catch.
AI Code Review Tools At A Glance
Company
Based In
Best For
Known For
CodeRabbit
San Francisco, USA
Teams wanting the most widely installed PR reviewer
Line-by-line reviews on GitHub and GitLab, plus CLI and IDE checks
Greptile
San Francisco, USA
Large codebases where bugs hide outside the diff
Graph index of the whole repository and credit-based pricing
Graphite
New York, USA
Teams that ship in stacked pull requests
Stacked PRs, merge queue and built-in AI Reviews
Qodo
Tel Aviv, Israel
Multi-repo organizations with strict standards
Multi-agent review and cross-repo context
GitHub Copilot code review
San Francisco, USA
Teams already paying for Copilot
Native reviewer inside GitHub pull requests
Cursor Bugbot
San Francisco, USA
Cursor-heavy engineering teams
Usage-based bug-focused reviews with Bugbot Rules
Claude Code Code Review
San Francisco, USA
High-stakes PRs where depth beats speed
Parallel agents that verify and rank findings
Bito
Menlo Park, USA
Teams that want review in Git, IDE and CLI
Per-seat pricing with a self-hosted option
Sourcery
London, UK
Small teams and open source maintainers
Free tier for public repos and low per-seat pricing
CodeAnt AI
San Francisco, USA
Teams wanting review and security in one tool
AI review bundled with SAST, secrets and IaC scanning
Best AI Code Review Tools For 2027
1. CodeRabbit — Most Installed AI Pull Request Reviewer On GitHub And GitLab
CodeRabbit is the reference point most teams start from. It posts a summary and line-by-line comments on each pull request, learns from how your team responds to its suggestions, and can generate fixes. The company says it is trusted by 17,000 customers across 6 million repositories, and it describes itself as the most installed AI app on GitHub and GitLab. Published case studies include Swiggy, Visma, Trivago, Clerk and TaskRabbit.
The product now reaches beyond the pull request. Every plan includes review before the PR in the CLI, the IDE and coding-agent loops, so developers can run a CodeRabbit pass on local changes before they push. Higher tiers add unit test generation, architecture impact review and continuous security monitoring.
Pricing as listed in November 2026 starts at $24 per user per month for Essentials (one linked repo), $48 for Team and $72 for Advanced, with annual billing saving 20%. Enterprise adds SSO, audit logs and self-hosting. The trade-off is that repo limits and per-developer hourly review caps scale with the tier, so larger organizations need to plan which plan fits their repo count.
2. Greptile — Whole-Repository Graph Index For Context Beyond The Diff
Greptile’s core idea is that the bug is often not in the lines that changed. It builds a graph index of the repository, mapping files, functions and dependencies, then runs parallel agents that use that index to assess a pull request’s impact beyond the diff. It also learns your team’s standards from reviewer comments over time.
The company says over 22,000 teams use it, and its site shows logos including NVIDIA, Vanta, PostHog, Substack, Brex and Retool. It supports GitHub, GitLab and Bitbucket in the cloud, and on Enterprise it adds GitHub Enterprise Server, GitLab Self-Managed, Bitbucket Data Center, Gitea and Perforce.
Pricing is credit-based rather than per seat. The Starter plan is free for one developer with 50 credits a month, and Pro costs $1 per credit with unlimited developers and no seat fees. A base review uses 1 credit, a Plus review 3 and an Apex review 10. That model rewards teams with many occasional contributors, but costs are harder to forecast if you run deep reviews on every push. Self-hosting is Enterprise only.
3. Graphite — Stacked Pull Requests With Built-In AI Reviews
Graphite started as a workflow tool for stacked pull requests, where a large change is split into a sequence of small PRs that can be reviewed and merged in order. It adds a stack-aware merge queue, a CLI, a VS Code extension and AI Reviews on every PR, plus Graphite Chat, an AI reviewer you can talk to on the PR page. Cursor agreed to acquire Graphite in December 2025 and said Graphite would keep operating independently with the same team and product.
Graphite names Semgrep, Shopify, Ramp and Asana on its site. It suits teams whose real bottleneck is review throughput rather than bug detection alone: smaller PRs get better human and AI reviews.
As listed in November 2026, Hobby is free with limited AI Reviews, Starter is $20 per user per month, and Team is $40 per user per month with unlimited AI Reviews, customizations and the merge queue (annual billing). It is built around GitHub, so GitLab and Bitbucket teams should look elsewhere.
4. Qodo — Multi-Agent Review With Cross-Repo Context
Qodo, formerly CodiumAI, is headquartered in Tel Aviv. It has folded its earlier products (Qodo Merge, Qodo Gen and Qodo Command) into a single AI code review platform with Git, IDE and CLI plugins and a context engine. Its feature list includes multi-agent code review, cross-repo review, a rules and skills lifecycle, and a software map of your codebase.
Qodo is a strong pick for organizations with many repositories and written standards they want enforced consistently. It supports GitHub, GitLab, Bitbucket and Azure DevOps, with Gerrit on Enterprise. Its original open source PR-Agent project, MIT licensed, has been donated to the community and is now community-maintained, which is useful for teams that want a self-run option.
Pricing on Pro Team is $0.012 per credit pooled across the team, with credit packs sized at roughly 18, 36 and 144 reviews a month, after a 14-day free trial. There is no permanent free tier. Enterprise starts at 30 users and adds SSO, BYOK and on-prem deployment.
For teams already on Copilot, the lowest-friction option is the reviewer that is built into GitHub. You request Copilot as a reviewer on a pull request (or enable automatic reviews), and it comments in any language with suggested changes you can apply in a couple of clicks. It gathers full project context and can hand its suggestions to the Copilot cloud agent, which opens a new pull request with fixes applied (in public preview).
It is available on all paid Copilot plans, not on Copilot Free. GitHub’s docs estimate per-review AI credit costs of $0.05 to $1 on the Lite effort setting and $0.25 to $5 on Balanced, with Actions minutes billed separately for the agentic features.
The trade-offs are clear in GitHub’s own documentation: automatic reviews are off by default, you cannot switch the underlying model, and Copilot reviews each PR once unless push reviews are enabled. It only works on GitHub. Rules-based CodeQL analysis is a separate product, GitHub Code Quality.
6. Cursor Bugbot — Usage-Based Bug Hunting Wired Into The Cursor Editor
Bugbot is Cursor’s code reviewer, launched in July 2025. Once enabled it runs automatically on new GitHub pull requests and focuses on real bugs rather than style. Cursor says more than 70% of its flags get resolved before merge. Fixes can be sent straight into the Cursor editor or to a background agent, and Bugbot Rules let teams encode their own standards.
There is no separate subscription. On Individual plans reviews draw on included usage first, and on Teams they bill from on-demand usage. Cursor puts the average review at $1.00 to $1.50 depending on PR size. Testimonials on the page come from engineers at Sentry, Rippling and Discord.
Bugbot makes the most sense when your developers already write code in Cursor, since the review-to-fix loop stays in one tool. It is GitHub focused. If you are comparing Cursor with other editors, see our best Cursor alternatives roundup.
Anthropic introduced Code Review for Claude Code on 9 March 2026 as a research preview for Team and Enterprise plans. When a PR opens, several agents look for bugs in parallel, verify their findings to filter out false positives, and rank what remains by severity. The output is one overview comment plus inline comments on specific bugs. Larger PRs get more agents and a deeper pass.
This is deliberately the slow, thorough option. Anthropic says the average review takes about 20 minutes and costs $15 to $25 in token usage, depending on size and complexity. Admins can set monthly spending caps, restrict reviews to chosen repositories and track spend in a dashboard. It never approves PRs, which stays a human decision.
Setup runs through the Claude Code settings and a GitHub App. For a lighter, cheaper pass, Anthropic points to its open source Claude Code GitHub Action instead. Our Claude Code vs Cursor comparison covers how the two ecosystems differ beyond review.
8. Bito — Codebase-Aware Review Agent With A Self-Hosted Option
Bito, based in Menlo Park, sells an AI Code Review Agent that runs in Git, in IDEs (VS Code, JetBrains, Cursor and Windsurf) and in the CLI. Reviews are codebase aware, offer one-click fixes and come with review analytics. Professional adds custom review guidelines, auto-learning from feedback, Jira and Confluence context, and reviews inside CI/CD pipelines.
Per-seat pricing as listed in November 2026 is $12 (Team) or $20 (Professional) per seat per month on annual billing, each with 5,000 reviewed lines per seat per month and $5 per extra 1,000 lines. Self-hosting is a $5 per seat add-on on Professional, and Enterprise adds on-prem deployment and cross-repo impact analysis.
Bito supports GitHub, GitLab and Bitbucket. The line-based usage cap is worth checking against your typical PR volume before committing.
9. Sourcery — Free AI Reviews For Public Repos And Low-Cost Seats
Sourcery is a London-based company that began with Python refactoring and now offers full AI code review on GitHub and GitLab. Every plan includes PR summaries, one-click fixes, custom review rules and auto-approval of low-risk PRs, alongside security checks.
Its main draw is price. Public repositories are free on the Open Source plan. Pro is $12 per developer per month billed annually and adds private repos, and Team is $24 and adds nightly scans of up to 50 repos and an issues dashboard. Sourcery says code is not retained after review or used for training, and it is SOC 2 Type II compliant.
It is a sensible choice for small teams and maintainers. Larger organizations on GitHub Enterprise Server need the Enterprise plan, and it lacks the deep repository graph some competitors build.
10. CodeAnt AI — AI Review Bundled With SAST, Secrets And IaC Scanning
CodeAnt AI, headquartered in San Francisco, combines AI code review with a code health and security suite: SAST, secrets detection, infrastructure-as-code scanning, quality gates, coverage and dead code detection. It works with GitHub, GitLab, Bitbucket and Azure DevOps, and runs reviews and scans inside Azure DevOps for teams on Microsoft’s stack.
That breadth is the selling point for teams that would otherwise stitch together a reviewer and a separate scanner. Its site shows logos including DP World and HockeyStack, and it offers a 14-day free trial plus free use for open source projects. The pricing page did not list dollar amounts when we checked, so expect a sales conversation.
How To Choose An AI Code Review Tool
Do You Need Context Beyond The Diff?
If your bugs come from changes that break code elsewhere, favor tools that index the whole repository or work across repos, such as Greptile, Qodo or Bito’s Enterprise tier. Diff-only reviewers are faster and cheaper but will miss side effects in files nobody touched.
Which Git Platform Are You On?
GitHub has the most options, including native Copilot review and GitHub-focused tools like Graphite and Bugbot. GitLab teams should look at CodeRabbit, Greptile, Sourcery or Bito. Azure DevOps narrows the field to Qodo and CodeAnt AI, and self-hosted Gitea or Perforce points to Greptile Enterprise.
Do You Want Per-Seat Or Usage-Based Pricing?
Per-seat plans (CodeRabbit, Bito, Sourcery, Graphite) are predictable when most developers open PRs every day. Usage-based pricing (Greptile, Qodo, Bugbot, Claude Code Code Review, Copilot) suits teams with many occasional contributors but needs spending caps. Run a two-week trial on real PRs and multiply the average review cost by your monthly PR count.
How Much Noise Will Your Team Tolerate?
A pull request reviewer that leaves 30 comments a PR gets ignored. Check whether a tool learns from dismissed comments, supports custom rules, and lets you tune severity. Verification steps like Claude Code’s false-positive filter trade speed for fewer, better comments.
Should Review And Security Live In One Tool?
If you have no separate SAST or secrets scanning, a combined platform such as CodeAnt AI or CodeRabbit’s Advanced tier closes that gap. If you already run a scanner, a focused code review agent avoids duplicate alerts. For monitoring what agents do after merge, see our list of observability tools for AI coding agents.
Conclusion
The best AI code review tools for 2027 split into three camps. CodeRabbit, Greptile, Qodo, Bito and Sourcery are independent specialists that work across git platforms. Copilot code review, Cursor Bugbot, Graphite and Claude Code Code Review are tied to a larger ecosystem and work best when your team already lives there. CodeAnt AI bundles review with security scanning.
Pick two candidates that match your git platform and pricing preference, run them side by side on a few weeks of real pull requests, and keep the one whose comments your engineers actually act on.
