Best AI Code Review Tools for GitHub in 2026

Choosing the best AI code review tool for your GitHub workflow in 2026 means evaluating detection rates, comment precision, pricing models, auto-fix capabilities, and how well each tool integrates with your existing development process. The market has matured significantly. There are now over a dozen tools that will automatically review your pull requests, but the differences in what they catch and what they cost are substantial.

This guide ranks the top AI code review tools based on published benchmark data, precision metrics, pricing transparency, and feature depth. Where possible, we use data from Macroscope's own Code Review Benchmark, which tested five tools against 118 real production bugs across 8 programming languages.

Updated for October 2026: what changed

• CodeRabbit renamed and re-tiered its plans. Pro is now Essentials ($24 per developer per month billed annually, $30 billed monthly), Pro Plus is now Team ($48 annual, $60 monthly), and there is a new Advanced tier at $72 billed annually. Every tier now carries a per-developer hourly review limit (Essentials 5 PR reviews per developer per hour, Team 8, Advanced 10, Enterprise 12), and reviews past the limit are pay as you go at $0.25 per reviewed file. Details: CodeRabbit pricing in 2026.
• Greptile moved to credits. There is a free Starter tier (1 active developer, 50 credits per month). Pro is $30 per seat per month with 50 credits per seat and $1 per extra credit, and a review now costs 1, 3 or 10 credits depending on depth (Base, Plus, Apex). A seat is any developer who got a Greptile review in the billing period. Details: Greptile pricing in 2026.
• Cursor Bugbot has no standalone price. Individual Cursor plans bill Bugbot on usage, and Cursor Teams plans ($40 per user per month) include agentic code reviews with Bugbot.
• GitHub Copilot code review is not on the Free plan. It is included on Pro ($10/month), Pro+ ($39/month) and Max ($100/month), and consumes GitHub AI Credits from the monthly allowance.
• Macroscope pricing is unchanged: $0.05 per KB reviewed with a $0.50 floor, no seat fees, and $100 in usage credit for every new workspace.

TL;DR: Best AI Code Review Tools for GitHub (2026)

1. Macroscope. Highest detection rate in our benchmark (48.3%), 98% review-comment precision, usage-based pricing ($0.05/KB). Best for teams that prioritize catching production bugs.
2. CodeRabbit. Close detection (45.8%), broadest platform support (GitHub, GitLab, Azure DevOps, Bitbucket). Can be noisy. Per-seat with hourly review limits.
3. Cursor Bugbot. Strong detection (42.4%), very selective commenting. Usage-based inside a Cursor subscription.
4. Qodo. Multi-agent architecture with auto-learning rules. Not in our benchmark; publishes its own (different methodology).
5. Greptile. Agentic codebase search. Lower detection (23.6%). GitLab and self-hosting support.
6. Graphite Diamond. Very few false positives, very few catches. Best as a complement, not primary reviewer.
7. Other tools. Claude Code Review, DeepSource, Codacy, GitHub Copilot code review.

How We Evaluated

The rankings in this guide are primarily informed by Macroscope's Code Review Benchmark. It is our own benchmark, and the methodology is published so anyone can check it:

• 118 real production bugs, each one a self-contained runtime bug
• 8 programming languages: Go, Java, JavaScript, Kotlin, Python, Rust, Swift, TypeScript
• Each bug was a real production issue found in actual open-source projects, not synthetic test cases
• All tools were tested on the same dataset with methodology published for reproducibility
• Macroscope, CodeRabbit, Cursor Bugbot, Greptile, and Graphite Diamond were all included

A methodological note: Greptile was evaluated on 72 of the 118 bugs rather than the full set, and Graphite Diamond on 115. All other tools were tested on the complete dataset.

For tools not included in the benchmark (Qodo, Claude Code Review, DeepSource), we describe their approach without quoting their self-published scores, since those use different datasets and methodologies and are not comparable.

1. Macroscope: Best Overall AI Code Review Tool

Detection rate: 48.3% (57/118 bugs) | Precision: 98% | Pricing: $0.05/KB reviewed

Macroscope detected more production bugs than any other tool in the 118-bug benchmark. Code Review v3 raised overall review-comment precision to 98%, up from 75%, while leaving 22% fewer comments overall, which means nearly every comment it leaves identifies a real, actionable issue. This combination of high detection and low noise is what separates Macroscope from the field.

How Macroscope Reviews Code

Macroscope reviews each pull request with full-repository context: an agent reads the change, then explores the surrounding code in your repository to understand the context beyond the diff, to evaluate whether the change introduces a bug somewhere the diff does not show.

This full-repository approach is why Macroscope does well on cross-file bugs: the kind where changing a function signature in one file breaks a caller in another, or where a type mismatch only manifests three function calls deep. For a deeper walkthrough, see how AI code review catches bugs across files.

Auto-Fix: Fix It For Me

Macroscope's Fix It For Me is a fully integrated detect-fix-validate pipeline. When Macroscope finds a bug, you reply "fix it for me" and Macroscope:

1. Creates a new branch from your feature branch
2. Implements the fix using full codebase context
3. Opens a pull request
4. Runs your CI pipeline (GitHub Actions)
5. If CI fails, reads the logs and commits another fix attempt
6. Repeats until tests pass
7. Optionally auto-merges the fix PR

This closed-loop workflow means Fix It For Me does not just suggest a fix. It validates the fix against your actual test suite, which makes it the closest thing to an AI code fixer that finishes the job.

Custom Enforcement: Check Run Agents

Check Run Agents are custom checks defined as individual Markdown files in your repository's .macroscope/check-run-agents/ directory. They enforce anything you can describe in plain English (architecture rules, naming conventions, migration patterns, security policies) and run as GitHub check runs that can block merges. Check Run Agents support optional YAML front-matter for configuration (model, tools, file scoping, conclusion severity) and a Markdown body with instructions.

Additional Features

• Approvability: Auto-approves low-risk PRs (docs, tests, code behind feature flags, simple bug fixes, copy changes) and escalates risky ones. None of the other tools in this guide offers auto-approval.
• Status: Commit summaries, sprint reports, weekly digests, and project classification. Productivity analytics alongside code review.
• Agent: Writes code, answers codebase questions, opens PRs. Connects to Jira, Linear, PostHog, Sentry, LaunchDarkly, BigQuery, Amplitude, and GCP logs. Accessible via Slack, GitHub, or API.
• Context-aware review: Reviews each PR against production context and ticket intent (Jira, Linear), and connects to any MCP server, so findings are ranked by real blast radius rather than diff size.
• Macroscope CLI: Review before you push, with plugins for Claude Code, Codex, Cursor, and OpenCode.
• Slack integration: Deep integration for reviews, agent queries, and team broadcasts.
• Jira and Linear integration: Natively pulls ticket context into reviews from both Jira and Linear.

Pricing

Macroscope uses usage-based pricing. You pay for the work actually done:

• Code Review: $0.05 per KB of diff reviewed (10 KB minimum, so a $0.50 floor per review)
• Status: $0.05 per commit
• Agent: $0.01 per credit, with 1,000 free Agent credits per month per workspace
• New workspaces: $100 in usage credit
• One prepaid balance covers Code Review, Status, and Agent, with optional auto-refill
• Spend controls: Per-review caps (default $10), per-PR caps (default $50), monthly budget limits, and the ability to turn off auto-review by repo or label or exclude files

There are no seat fees, no seat minimums, and no annual commitment. Cost tracks diff size and review volume rather than headcount: 160 reviews in a month costs $80 if every diff is 10 KB or smaller, and each review costs $0.05 more for every KB above that. See what AI code review costs per pull request for worked examples, and pricing for the full rate card.

Limitations

• GitHub only. No GitLab or Bitbucket support.
• No self-hosted deployment option.

Best for: Teams that prioritize catching production-critical bugs with minimal noise, want an integrated fix workflow, and use GitHub.

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2. CodeRabbit: Best Multi-Platform Coverage

Detection rate: 45.8% (54/118 bugs) | Pricing: $24 to $72 per developer per month (Essentials to Advanced), plus $0.25 per file past the hourly limit

CodeRabbit came closest to Macroscope in the benchmark, detecting 45.8% of production bugs. CodeRabbit's biggest strength is platform coverage. It supports GitHub, GitLab, Azure DevOps, and Bitbucket Cloud, the broadest support of any AI code review tool in this guide.

How CodeRabbit Reviews Code

CodeRabbit uses a hybrid approach combining AST Grep pattern matching with RAG (retrieval-augmented generation) and LLM analysis. It also integrates linters and static analysis tools (ESLint, Semgrep, and others) into its review pipeline.

Strengths

• Broadest platform support: GitHub, GitLab, Azure DevOps, Bitbucket
• Strong detection rate: 45.8% in the 118-bug benchmark, 2.5 percentage points behind Macroscope
• Mature product with a large installed base
• Free reviews for public repositories, forever
• Custom rules: .coderabbit.yaml with plain-English review instructions, per-path scoping, and tone/depth configuration

Auto-Fix

CodeRabbit offers one-click commit suggestions for simple fixes and a "Fix with AI" button for more complex changes. Fixes are generated as GitHub suggested changes that can be committed directly from the PR.

Pricing

• Free: Free reviews forever for public repositories
• Essentials (formerly Pro): $24 per developer per month billed annually, $30 billed monthly. 5 PR reviews per developer per hour.
• Team (formerly Pro Plus): $48 per developer per month billed annually, $60 billed monthly. 8 PR reviews per developer per hour.
• Advanced: $72 per developer per month billed annually. 10 PR reviews per developer per hour.
• Enterprise: Custom pricing. 12 PR reviews per developer per hour.
• Past the hourly limit: Pay as you go at $0.25 per reviewed file, with an admin-set monthly cap
• Trial: 14-day free trial on paid plans, no credit card

For a 10-person team, CodeRabbit Essentials costs $240/month billed annually or $300/month billed monthly, and Team costs $480 to $600/month, before any pay-as-you-go files. For the full breakdown, see how much CodeRabbit costs.

Limitations

• High comment volume. CodeRabbit leaves noticeably more comments per PR than Macroscope, and a meaningful share are style, documentation, or low-priority suggestions. Useful for some teams, noisy for others.
• Hourly review limits per developer. Bursty teams, or teams whose coding agents open many PRs at once, can hit the limit and spill into per-file billing.
• No productivity analytics (commit summaries, sprint reports)
• No auto-approval feature
• No integrated CI loop for auto-fix. Suggested changes are one-shot, not validated against your test suite.

Best for: Teams on multiple platforms (especially GitLab, Azure DevOps, or Bitbucket) who want comprehensive review coverage and can tolerate higher comment volume. More options: best CodeRabbit alternatives and Macroscope vs CodeRabbit.

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3. Cursor Bugbot: Best for Cursor IDE Users

Detection rate: 42.4% (50/118 bugs) | Pricing: Usage-based, inside a Cursor subscription

Cursor Bugbot is the code review offering from Cursor, the AI-powered IDE. Bugbot was the third-highest performer in the 118-bug benchmark, and its most notable characteristic is selectivity: it leaves few comments, and the ones it leaves tend to be about real runtime issues.

How Bugbot Reviews Code

Bugbot runs multiple parallel review passes with randomized diff ordering, using a combination of frontier and in-house models. It can detect issues in files not directly touched by a PR by analyzing how changes interact with existing components. Bugbot also learns from human reviewer feedback and reactions to create candidate rules.

Strengths

• Very selective: Comments are infrequent and usually substantive
• Strong detection: 42.4% in the benchmark
• Bugbot Autofix: Spawns cloud agents in independent VMs to test and generate fixes
• Tight integration with the Cursor editor

Pricing

• No standalone published price for Bugbot
• Individual Cursor plans (starting at $20/month) list "Bugbot on usage-based billing"
• Cursor Teams ($40 per user per month) includes agentic code reviews with Bugbot

Because Bugbot is itself usage-based, "pay per review instead of per seat" is not a differentiator against it. The real question is whether your team already lives in Cursor. For a team that does, Bugbot comes with the subscription; for a team that does not, adopting Bugbot means adopting Cursor plans too.

Limitations

• GitHub only. No GitLab, Bitbucket, or Azure DevOps support.
• Tied to a Cursor subscription, so it makes the most sense for teams already standardized on Cursor
• Acquired Graphite in December 2025, so product direction may change as Bugbot and Graphite Diamond converge
• More limited custom enforcement than Check Run Agents or CodeRabbit's rule system (Bugbot Rules exist)

Best for: Teams already paying for Cursor who want a highly selective reviewer that only speaks up when it finds a real bug. If you are weighing other options, see the best Cursor Bugbot alternatives and Cursor Bugbot vs Macroscope.

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4. Qodo (formerly CodiumAI): Best Auto-Learning Rules

Detection rate: Not in the 118-bug benchmark | Pricing: $30/month for up to 30 users, plus credit packs

Qodo, formerly CodiumAI, takes a multi-agent architecture approach to code review. Qodo 2.0 dispatches specialized agents in parallel: one evaluates bugs, another checks code quality, another scans for security vulnerabilities, and another assesses test coverage.

Important Benchmark Note

Qodo was not included in Macroscope's 118-bug benchmark. Qodo publishes its own benchmark, but it uses a different dataset, different methodology, and different evaluation criteria, so its score is not comparable to the numbers in this guide. Self-published benchmarks inherently favor the publisher (ours included, which is why we publish the methodology). The only way to reliably compare Qodo to Macroscope or CodeRabbit is to run both on your own PRs.

Strengths

• Multi-agent review architecture: Parallel specialized agents for different concern areas
• Auto-learning rules: Qodo's Rules System discovers patterns from your codebase and past reviews, then enforces them
• Broad platform support: GitHub, GitLab, Bitbucket, Azure DevOps
• Two products: Qodo Merge (PR review) and Qodo Gen (IDE/CLI assistant with code completion and test generation)

Auto-Fix

Qodo offers "Auto-fix all" for batch fixing and qodo-pr-resolver for interactive fixes. It also generates Agent Prompts, structured issue context that can be fed into any AI coding assistant.

Pricing

• Team plan: $30 per month for up to 30 users, plus credit packs. It is not priced per developer.
• Enterprise: Custom pricing with self-hosted deployment

Because the team fee is flat, most of what you spend on Qodo tracks credit consumption rather than headcount.

Limitations

• No independent benchmark data comparable to the 118-bug results
• Credit system complexity: different requests consume different amounts of credit, which makes cost prediction harder
• No integrated CI loop for auto-fix
• No productivity analytics or auto-approval

Best for: Teams that want auto-learning rules that evolve with their codebase, especially if they also need an IDE assistant (Qodo Gen) alongside PR review.

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5. Greptile: Best for GitLab and Self-Hosting

Detection rate: 23.6% (17/72 bugs) | Pricing: Free Starter; Pro $30/seat/month with 50 credits per seat, then $1 per credit

Greptile takes an agentic approach to code review, indexing your entire repository and running a search loop that can follow nested function calls and reason across files.

Benchmark Context

Greptile was tested on 72 of the 118 bugs in Macroscope's benchmark and detected 17 of them (23.6%). That is a smaller sample than the other tools, so treat the comparison as directional, and evaluate Greptile on your own PRs if it is on your shortlist.

Strengths

• GitLab support: One of the few tools supporting both GitHub and GitLab
• Self-hosting: The Enterprise plan includes self-hosting, SSO/SAML, and GitHub Enterprise support, which matters for teams with strict data residency requirements
• Agentic search: The agent explores beyond the diff, investigating related code across the repository
• Learning from feedback: Adapts to team preferences based on reactions and PR comment patterns

Auto-Fix

Greptile's "Fix in X" button sends issue context to external tools (Claude Code, Codex, Cursor, Devin). The fix is generated and applied within the external tool. There is no integrated fix workflow, CI validation loop, or retry mechanism within Greptile itself.

Pricing

• Starter: Free, 1 active developer, 50 credits per month
• Pro: $30 per seat per month, 50 credits included per seat, $1 per extra credit. 14-day free trial.
• Credits per review: Base 1, Plus 3, Apex 10
• Seats are active developers: a seat is any developer who got a Greptile review in that billing period, not total headcount
• Enterprise: Custom pricing with self-hosting, SSO/SAML, and GitHub Enterprise
• Discounts: Free for qualified non-commercial open source, 50% off for pre-Series A startups under $2M revenue

For a 10-person team with all 10 developers active, Pro costs $300/month with 500 credits included. That covers 500 Base reviews, about 166 Plus reviews, or 50 Apex reviews before overage kicks in. The review tier you pick changes the bill as much as the team size does. Full breakdown: how much Greptile costs.

Limitations

• Lowest detection rate among the five tools in the 118-bug benchmark (on a 72-bug subset)
• No auto-approval, no productivity analytics, no integrated fix workflow
• Limited Slack integration
• Jira only (MCP-based), no Linear integration

Best for: Teams on GitLab or teams that require self-hosted deployment for compliance reasons. More options: best Greptile alternatives, and if you are choosing between the two seat-based leaders, Greptile vs CodeRabbit.

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6. Graphite Diamond: Best as a Complement

Detection rate: 18.3% (21/115 bugs) | Pricing: Graphite Team $40/user/month

Graphite Diamond, now rebranded as "Graphite Agent," is the AI review feature built into Graphite's stacked PR workflow tool. Diamond had the lowest detection rate in the benchmark but also very few false positives, making it a useful complement to a primary reviewer rather than a standalone tool.

Strengths

• Very low noise: When Diamond speaks up, it is almost always right
• Stacked PRs: If your team uses Graphite for stacked PR workflows, Diamond is built in
• Custom rules from templates: Choose from OWASP Security, Airbnb JS, PEP Python, Google Go, and other pre-built rule sets

Limitations

• 18.3% detection rate, the lowest in the benchmark. Diamond catches fewer than 1 in 5 production bugs.
• GitHub only
• Acquired by Cursor in December 2025, so its future is uncertain as it converges with Bugbot
• No integrated fix workflow, no productivity analytics, no auto-approval

Pricing

• Team plan: $40 per user per month, a purely per-seat price that bundles AI review with stacking and the merge queue

Best for: Teams already using Graphite for stacked PRs who want a lightweight, low-noise reviewer as a second pair of eyes, not as their primary AI reviewer.

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7. Other Notable AI Code Review Tools

Claude Code Review (Anthropic)

Anthropic launched Claude Code Review as a feature of Claude Code for Teams and Enterprise plans. It uses a multi-agent system that dispatches parallel agents per PR: some find bugs, others verify findings to filter false positives, and a final agent ranks by severity.

Anthropic positions it as high-precision. Check current per-review cost and latency before rolling it out across a busy repo. It does not offer auto-fix, custom enforcement rules, or self-hosting, and is GitHub only.

Best for: Teams already on Claude Code Enterprise who want an additional layer of review and do not mind the cost or latency.

GitHub Copilot Code Review

GitHub's built-in AI review leaves inline comments on pull requests. Code review is not included on Copilot Free. It is included on Pro ($10/month), Pro+ ($39/month), and Max ($100/month), and each review consumes GitHub AI Credits from the plan's monthly allowance.

It is a reasonable default for teams already paying for Copilot, and the convenience is real. It was not part of our 118-bug benchmark, so we cannot give it a comparable detection score, and teams that care most about cross-file bugs should test it against a dedicated reviewer on their own PRs. Our longer take: is GitHub Copilot code review good enough?, and the head-to-head Macroscope vs GitHub Copilot code review.

DeepSource

DeepSource combines traditional static analysis with an AI review engine running in parallel. It supports GitHub, GitLab, and Bitbucket. DeepSource's strength is its report card system, grading repositories across Security, Reliability, Complexity, Hygiene, and Coverage, which provides ongoing code health monitoring beyond PR-level review. It was not included in the 118-bug benchmark.

Codacy

Codacy offers static analysis across many languages plus AI-powered PR review. Codacy's newer AI Risk Hub provides centralized AI policy enforcement and org-wide AI risk scoring. Supports GitHub, GitLab, and Bitbucket. Not included in the benchmark.

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Full Comparison Table

Feature	Macroscope	CodeRabbit	Bugbot	Qodo	Greptile	Diamond
Detection rate (118-bug benchmark)	48.3%	45.8%	42.4%	Not tested	23.6% (72 bugs)	18.3% (115 bugs)
Pricing model	Usage-based, no seats	Per seat, hourly limits, per-file overage	Usage-based inside Cursor	Flat team fee plus credits	Per active seat plus credits	Per seat
Entry price	$0.05/KB, $0.50 floor per review	Essentials $24 annual / $30 monthly per dev	No standalone price	$30/mo for up to 30 users	Free Starter; Pro $30/seat	$40/user/mo
Overage	None (pay per KB)	$0.25 per reviewed file past hourly limit	Usage-based	Credit packs	$1 per extra credit	None
Free to start	$100 usage credit	Free for public repos; 14-day trial	Via Cursor plan	See vendor	Free Starter; 14-day Pro trial	See vendor
GitHub	Yes	Yes	Yes	Yes	Yes	Yes
GitLab	No	Yes	No	Yes	Yes	No
Bitbucket	No	Yes	No	Yes	No	No
Azure DevOps	No	Yes	No	Yes	No	No
Auto-fix	Fix It For Me (CI loop)	One-click + AI	Autofix (VM agents)	Batch + prompts	External tools	One-click
Auto-approve	Yes (Approvability)	No	No	No	No	No
Custom rules	Check Run Agents (.macroscope/check-run-agents/*.md)	.yaml config	Bugbot Rules	Auto-learning	Natural language	Templates
Productivity analytics	Yes (Status)	No	No	No	No	No
Slack integration	Deep	No	No	No	Limited	No
Jira integration	Native	No	No	No	MCP-based	No
Linear integration	Native	No	No	No	No	No
Self-hosting	No	Enterprise	No	Enterprise	Enterprise	No

How to Choose the Right AI Code Review Tool

By Priority

If catching production bugs is your top priority: Macroscope (48.3% detection in our benchmark, 98% review-comment precision). On the same benchmark, Macroscope caught roughly twice the rate of Greptile, with the caveat that Greptile was scored on a 72-bug subset.

If you need multi-platform support: CodeRabbit (GitHub, GitLab, Azure DevOps, Bitbucket) or Qodo (same four platforms). No other tools here support all four major platforms.

If you need self-hosting: Greptile, Qodo, or CodeRabbit all offer self-hosted Enterprise plans. Macroscope and Cursor Bugbot do not.

If you want pricing that does not scale with headcount: Macroscope charges per KB reviewed with no seats, and Qodo charges a flat team fee plus credits. CodeRabbit, Greptile, and Graphite all charge per seat (Greptile counts only active developers). Bugbot is usage-based but sits inside a Cursor subscription.

If you want the least noise: Cursor Bugbot and Graphite Diamond are the most selective. But selectivity comes at a cost: Diamond catches only 18.3% of bugs. Macroscope strikes the balance with 98% review-comment precision at the highest detection rate.

If you're on GitLab: Greptile, CodeRabbit, or Qodo. Macroscope, Bugbot, and Diamond are GitHub only.

By Team Size

Solo developers or small teams (1-5): Macroscope's $100 usage credit covers up to 200 reviews at the $0.50 floor, and usage-based pricing means you only pay for what you use. CodeRabbit's free public-repo reviews and Greptile's free Starter tier (one active developer) are also options.

Mid-size teams (5-25): Macroscope's usage-based model becomes increasingly advantageous as team size grows. No seat fees means adding a developer who pushes 2 PRs per month costs almost nothing. Seat-based tools charge the full seat price for every developer who gets reviewed.

Large teams (25+): At scale, the pricing model matters more than the sticker price. A 50-person team on CodeRabbit Essentials pays $1,200 to $1,500 per month in seats alone, and $2,400 to $3,000 on Team. On Greptile Pro, 50 active developers is $1,500 per month with 2,500 credits included, before any overage. On Macroscope, cost depends entirely on review volume and diff size, with spend caps per review, per PR, and per month.

How to Get Started

The best way to evaluate any AI code review tool is to install it on a real repository and compare its output on real pull requests. Most tools install as GitHub Apps and can run in parallel without conflicts.

1. Macroscope: Installs as a GitHub App in a few minutes (setup guide). $100 in usage credit.
2. CodeRabbit: Free for public repositories. 14-day free trial on paid plans.
3. Cursor Bugbot: Available through Cursor plans. Requires GitHub.
4. Qodo: Team plan priced for up to 30 users.
5. Greptile: Free Starter tier, 14-day Pro trial. Supports GitHub and GitLab.
6. Graphite Diamond: Included with Graphite's Team plan.

Install two or three on the same repository, review the same batch of PRs, and compare which tool catches real issues, which generates noise, and which fits your workflow. A single sprint of parallel evaluation is worth more than any benchmark, including ours.

Frequently Asked Questions

What is the best AI code review tool for GitHub in 2026?

Based on our 118-bug benchmark, Macroscope is the best AI code review tool for GitHub in 2026. It detected 48.3% of production bugs, the highest of any tool tested, and its Code Review v3 release brought review-comment precision to 98%. Its usage-based pricing ($0.05/KB, $0.50 floor per review, no seats) also keeps cost tied to actual review work. CodeRabbit is a close second at 45.8% detection, with the advantage of supporting GitLab, Azure DevOps, and Bitbucket in addition to GitHub.

How much do AI code review tools cost?

Pricing varies significantly by model. Macroscope charges $0.05 per KB reviewed with a $0.50 floor and no seat fees. CodeRabbit charges per developer: Essentials $24 billed annually or $30 monthly, Team $48 or $60, Advanced $72 annually, plus $0.25 per reviewed file past the hourly limit. Greptile has a free Starter tier and charges $30 per active seat on Pro with 50 credits per seat and $1 per extra credit. Cursor Bugbot has no standalone price and is usage-based inside Cursor plans. Qodo charges $30 per month for up to 30 users plus credit packs. Graphite's Team plan is $40 per user per month. GitHub Copilot code review needs Copilot Pro ($10/month) or higher.

How much does CodeRabbit cost?

CodeRabbit Essentials (formerly Pro) is $24 per developer per month billed annually or $30 billed monthly. Team (formerly Pro Plus) is $48 billed annually or $60 monthly, Advanced is $72 billed annually, and Enterprise is custom. Each plan has a per-developer hourly review limit (5, 8, 10, and 12 PR reviews per hour respectively), and reviews past the limit are pay as you go at $0.25 per reviewed file with an admin-set monthly cap. Public repositories are reviewed free, and paid plans have a 14-day free trial. Full breakdown: CodeRabbit pricing in 2026.

How much does Greptile cost?

Greptile's Starter tier is free for 1 active developer with 50 credits per month. Pro is $30 per seat per month with 50 credits included per seat and $1 per extra credit, and a seat is any developer who got a Greptile review in that billing period. A Base review costs 1 credit, Plus costs 3, and Apex costs 10, so review depth drives the bill. Enterprise is custom and adds self-hosting, SSO/SAML, and GitHub Enterprise. Full breakdown: Greptile pricing in 2026.

Which AI code review tool catches the most bugs?

In our 118-bug benchmark, which tested multiple tools on the same dataset of real production bugs, Macroscope detected 48.3% (57/118), CodeRabbit detected 45.8% (54/118), Cursor Bugbot detected 42.4% (50/118), Greptile detected 23.6% (17/72), and Graphite Diamond detected 18.3% (21/115). Qodo publishes its own benchmark using a different methodology, so its numbers are not directly comparable.

Is GitHub Copilot code review good enough?

For teams already paying for Copilot Pro or above, Copilot code review is a convenient first pass with no extra vendor to add. It is not available on Copilot Free, and each review draws from the plan's GitHub AI Credits. It was not part of our 118-bug benchmark, so if cross-file production bugs are your main concern, run it side by side with a dedicated AI code review tool on the same PRs before relying on it alone. More detail: is GitHub Copilot code review good enough?.

Is there an AI code review tool without per-seat pricing?

Yes. Macroscope has no per-seat fees, no seat minimums, and no annual commitment: Code Review is $0.05 per KB of diff with a $0.50 floor per review, and every new workspace starts with $100 in usage credit. Cursor Bugbot is also usage-based, though it sits inside a Cursor subscription, and Qodo charges a flat $30 per month for up to 30 users plus credit packs. CodeRabbit, Greptile, and Graphite all price per seat.

Which AI code review tools support GitLab?

CodeRabbit, Greptile, and Qodo support GitLab. Macroscope, Cursor Bugbot, and Graphite Diamond are GitHub only. CodeRabbit also supports Azure DevOps and Bitbucket, making it the broadest platform choice.

Do AI code review tools replace human reviewers?

No. AI code review tools are best used as a complement to human review, not a replacement. AI excels at catching structural bugs (type mismatches, broken interfaces, cross-file issues), enforcing coding standards consistently, and reviewing every PR instantly. Humans excel at evaluating architecture decisions, business logic, design trade-offs, and mentoring junior developers. The best workflow uses AI review as the first pass, catching mechanical issues so human reviewers can focus on higher-level concerns.

Can I use multiple AI code review tools at the same time?

Yes. Most AI code review tools install as independent GitHub Apps and can run on the same repository without conflicts. Each tool posts its own review comments. Some teams run two tools during evaluation periods to compare output quality, and some keep two running permanently, one for bug detection and one for style enforcement. There are no technical limitations to running multiple tools simultaneously.

What is the false positive rate of AI code review tools?

It varies widely, and few vendors publish it on a comparable basis. Macroscope's Code Review v3 measured 98% overall review-comment precision, up from 75%, with 22% fewer comments overall. Cursor Bugbot and Graphite Diamond are both very selective, though Diamond catches very few bugs overall (18.3% detection). CodeRabbit leaves more comments per PR, a share of which are style, documentation, or low-priority suggestions. The most reliable way to measure noise is to run tools on your own PRs and count which comments led to a real change.

Is usage-based pricing better than per-seat pricing for AI code review?

For most teams, yes. Usage-based pricing (like Macroscope's $0.05/KB) scales with actual work: you only pay when code is reviewed. Per-seat pricing (like CodeRabbit's $24 to $72 per developer, or Greptile's $30 per active seat) charges per developer, and both now add a usage component on top (CodeRabbit's $0.25 per file past hourly limits, Greptile's $1 per extra credit). This matters especially with AI coding agents: as Copilot, Cursor, and Claude Code generate more PRs per developer, seat plans with hourly limits or credit allowances start producing overages. Usage-based pricing also means adding a part-time contributor costs almost nothing.

Which AI code review tool is best for enterprise teams?

For enterprise teams on GitHub, Macroscope offers the strongest combination of detection rate, precision, custom enforcement (Check Run Agents), productivity analytics (Status), and cost control (per-review and per-PR caps, monthly budgets). It is SOC 2 Type II, does not train models on customer code, and encrypts data at rest and in transit. For enterprise teams requiring self-hosting, Greptile, Qodo, and CodeRabbit all offer self-hosted Enterprise plans. For enterprise teams on GitLab, CodeRabbit and Qodo provide the broadest feature sets.