IT, Data & Development

Best Code Review Tools in 2026

Fourteen leading code review tools in 2026: code-host review, AI reviewers, static analysis and peer-review tools, compared on workflow, hosting and price.

Code review tools support the inspection of source-code changes before they are merged, through human peer review, rule-based static analysis or, increasingly, AI reviewers that comment on pull requests.

This list covers fourteen tools available in November 2026 in four groups: review built into code hosts (GitHub, GitLab, Bitbucket); dedicated peer-review systems (Gerrit, SmartBear Collaborator, P4 Code Review, Review Board); static analysis platforms that report on pull requests (SonarQube, Codacy, DeepSource); and AI review services (CodeRabbit, Graphite, Qodo, Greptile).

Entries describe each tool's workflow, supported version-control systems, documented limitations and published pricing, which ranges from free open-source software to seat-based and credit-based AI services.

Contents
  1. What is a code review tool
  2. History and market
  3. Key features to compare
  4. Pricing models
  5. How to choose
  6. Methodology
  7. The list
  8. Comparison table
  9. Alternatives by use case
  10. Recent developments
  11. Frequently asked questions
  12. See also

What is a code review tool

A code review tool supports the examination of source-code changes by people other than the author, and increasingly by automated analysers and AI models, before the changes are merged. The most common form is the pull or merge request on a code host such as GitHub, GitLab or Bitbucket, where reviewers comment on lines, request changes and approve. Dedicated review tools add workflows such as patchset-based review (Gerrit), auditable checklist-driven review (Collaborator) or stacked pull requests (Graphite).

Three related categories are often grouped under code review. Static analysis tools such as SonarQube, Codacy and DeepSource check code against rules for bugs, security issues and style. AI code reviewers such as Copilot code review, CodeRabbit, Qodo and Greptile comment on pull requests using large language models. Application security testing tools focus on vulnerabilities. Code review also sits next to CI/CD tools, which run tests on the same changes, and AI coding assistants, which generate much of the code under review.

History and market

Formal code inspection originated in large engineering organisations as a meeting-based process with checklists, a model that survives in tools for regulated industries such as SmartBear Collaborator. Web-based review followed with open-source tools such as Review Board and Gerrit, the latter built around reviewing each Git commit as a patchset. The pull request, popularised by GitHub, made lightweight asynchronous review the default for most teams and moved review into the code host, where GitLab merge requests and Bitbucket pull requests followed the same model.

Automated review grew alongside: static analysis platforms such as SonarQube began decorating pull requests with quality-gate results. The largest recent change has been AI review. GitHub introduced Copilot code review, GitLab added Duo code review features, and start-ups such as CodeRabbit, Graphite, Qodo and Greptile built products around AI reviewers. Established analysis vendors responded: in 2026 Sonar sells Gitar, an AI reviewer that writes fixes and iterates until CI passes. No market-size estimate from a named research firm was consulted for this list.

Key features to compare

Review workflow

Pull requests, patchsets, stacked pull requests and formal checklist reviews suit different team cultures and compliance needs.

Code host support

Some tools work only with GitHub (Graphite), others across GitHub, GitLab, Bitbucket and Azure DevOps (SonarQube), and some with non-Git systems (P4 Code Review, Collaborator, Review Board).

AI review quality and control

Compare whether the reviewer uses cross-repository context, learns team rules, verifies fixes and lets administrators set effort levels; GitHub offers Lite, Balanced and Max effort.

Static analysis and security

Rule-based quality gates, SAST, dependency scanning and secrets detection catch classes of defects AI reviewers may miss.

Automatic fixes

DeepSource, Copilot, Codacy and Gitar can propose or apply fixes, reducing reviewer workload.

Audit and compliance

Regulated teams need review records, templates and reports, which Collaborator emphasises.

Deployment model

Self-hosted options exist for Gerrit, Review Board, SonarQube Server, GitLab Self-Managed and DeepSource Enterprise.

Pricing models

Included with the code host: pull-request review is part of GitHub (Free, Team US$4, Enterprise US$21 per user per month), GitLab and Bitbucket (from US$3.65 per user). Per seat: CodeRabbit from US$24, Graphite from US$20, Codacy from US$18, DeepSource US$24 and Qodo US$30 per user per month. Usage or credits: GitHub Copilot reviews consume AI credits (GitHub estimates about US$0.25 to US$10 per review by effort), Greptile charges US$1 per credit with no seat fees, and DeepSource meters AI review per 10,000 lines processed. Lines of code: SonarQube Cloud starts at US$34 per month for 100,000 lines. Free and open source: Gerrit and Review Board are free; P4 Code Review is free for P4 users; CodeRabbit, Codacy and Qodo are free for open-source projects. Quote-based: SmartBear Collaborator and enterprise tiers of most vendors.

How to choose

By code host. Most teams should start with the review features of their code host, GitHub, GitLab or Bitbucket, and add tools only where gaps appear. Graphite suits GitHub teams that want stacked pull requests. Perforce users have P4 Code Review at no extra cost.

By goal. To enforce consistent quality and security rules, add SonarQube, Codacy or DeepSource. To reduce reviewer workload with AI comments, trial Copilot code review, CodeRabbit, Qodo or Greptile on a sample of repositories and measure accepted suggestions.

By compliance needs. Regulated industries requiring audit trails should evaluate SmartBear Collaborator; teams requiring strict per-commit review on self-hosted infrastructure should consider Gerrit.

By team size and budget. Small teams can use free tiers from GitHub, GitLab, Graphite, Greptile and Codacy. Large organisations should compare seat-based AI reviewers with credit-based ones, since cost depends on whether headcount or pull-request volume grows faster.

Methodology

The list covers tools available in November 2026 whose primary purpose includes reviewing source-code changes: code-host review features, dedicated peer-review tools, static analysis platforms that report on pull requests, and AI reviewers. Entries were ordered editorially on verifiable criteria: breadth of documented review capabilities, size of the platform's user base as indicated by its code host or vendor scale, availability of free and self-hosted options, and transparency of published pricing. Prices and features were taken from vendor pricing pages and documentation in November 2026 and are in US dollars. No benchmarks of review accuracy, user ratings or review-site scores were used, because published accuracy comparisons are mostly produced by the vendors themselves.

The list

1

GitHub pull requests and Copilot code review

Best for: Teams hosting code on GitHub

GitHub's pull request is the most familiar form of modern code review: a developer proposes changes on a branch, reviewers comment on lines, request changes or approve, and branch protection rules can require approvals and passing checks before merging. Pull requests are included in every GitHub plan, from Free to Team at US$4 per user per month and Enterprise at US$21. GitHub also offers Copilot code review, an AI reviewer that analyses pull requests, identifies issues and suggests fixes that can be applied in a couple of clicks; its agentic mode gathers full repository context and can hand fixes to the Copilot cloud agent, which opens a new pull request. Copilot code review is included in Copilot Business and Enterprise and available on the Pro, Pro+ and Max individual plans, and reviews consume AI credits, with GitHub estimating averages of about US$0.25 per review at Lite effort, US$1.50 at Balanced and US$10 at Max. GitHub states that Copilot is not guaranteed to find every problem, and some file types, such as dependency lock files and logs, are excluded from review.

Key features

  • Line comments, suggestions and approvals
  • Branch protection with required reviews
  • Copilot AI review with suggested fixes
  • Automatic reviews on open or push
  • Lite, Balanced and Max review effort
  • Hand-off of fixes to Copilot cloud agent

Pricing

Pull requests: included in GitHub Free (US$0), Team (US$4 per user per month) and Enterprise (US$21 per user per month). Copilot: Free US$0 (no code review), Pro US$10, Pro+ US$39, Max US$100 per user per month; Business and Enterprise for organisations. Reviews consume AI credits (about US$0.25–US$10 per review by effort level, GitHub estimate).

Vendor
GitHub
AI review cost
About US$0.25–US$10 per review (GitHub estimate)

Strengths

  • Review built into the most widely used code host
  • Configurable automatic AI reviews
  • Suggested fixes applied in place
  • Strong branch protection controls

Limitations

  • AI review consumes paid credits
  • Copilot Free plan excludes code review
  • AI reviewer can miss issues
  • Only for code hosted on GitHub (Azure DevOps support in preview)
2

GitLab merge requests and GitLab Duo

Best for: Organisations using GitLab for code and CI/CD, including self-managed

GitLab's merge requests combine code review with pipeline results, security scan findings and approval rules in one view, which is the main reason organisations that run GitLab CI/CD review code there too. Reviewers can comment, suggest changes, resolve threads and approve, and with Ultimate organisations can require security approvals for merge requests that affect their security posture. AI assistance comes from GitLab Duo. GitLab's documentation lists two review features: Code Review Flow, an agentic reviewer that requires no add-on and consumes GitLab Credits, and the non-agentic GitLab Duo Code Review, which requires the GitLab Duo Enterprise add-on. Other merge-request features include generated descriptions, review summaries and merge commit messages on Premium and Ultimate, available on GitLab.com, Self-Managed and Dedicated in most cases. Premium costs US$29 per user per month billed annually and includes US$12 of GitLab Credits per user per month, and Ultimate is custom-priced. The self-managed option makes GitLab one of the few AI-assisted review environments that can run on the customer's own infrastructure.

Key features

  • Merge requests with pipeline and security results
  • Security approvals on Ultimate
  • Agentic Code Review Flow using GitLab Credits
  • GitLab Duo Code Review (Duo Enterprise)
  • AI-generated MR descriptions and summaries
  • SaaS, Dedicated or Self-Managed

Pricing

Free: US$0 (5 users per top-level group). Premium: US$29 per user per month billed annually, US$12 GitLab Credits per user per month included. Ultimate: custom, US$24 GitLab Credits per user per month. GitLab Duo Code Review requires the Duo Enterprise add-on; Code Review Flow uses GitLab Credits.

Vendor
GitLab Inc.
Starting price
US$29/user/month (Premium)

Strengths

  • Security findings shown in review
  • Self-managed deployment possible
  • AI review without a separate tool
  • Credits bundled with paid tiers

Limitations

  • Some AI features need the Duo Enterprise add-on
  • Ultimate pricing not published
  • Feature availability varies by tier and offering
  • Less useful when code is hosted elsewhere
3

Bitbucket

Best for: Teams that plan work in Jira

Bitbucket is Atlassian's Git code-hosting product, sold as Bitbucket Cloud and as a self-managed Data Center edition. Atlassian markets code review and Jira integration as core Bitbucket capabilities, so reviewers can relate a pull request to the Jira work item behind it. Bitbucket Cloud is free for up to five users, Standard costs US$3.65 per user per month and Premium, which Atlassian describes as accelerating velocity with AI and automation, costs US$8 per user per month. Bitbucket is the lowest-priced of the major code hosts on a per-user basis, and is therefore common in small and mid-sized teams already paying for Jira. Its limitations for review are a smaller ecosystem of third-party review integrations than GitHub, and AI review capabilities that depend on the Premium tier and on Atlassian's wider AI products.

Key features

  • Pull-request code review
  • Jira integration
  • Packages and security features
  • Integrated CI with Pipelines
  • Cloud and Data Center editions
  • AI and automation on Premium

Pricing

Free: up to 5 users. Standard: US$3.65 per user per month. Premium: US$8 per user per month. Data Center priced separately.

Vendor
Atlassian
Starting price
US$3.65/user/month

Strengths

  • Low per-user price
  • Jira integration
  • Self-managed Data Center option
  • Free for five users

Limitations

  • Fewer third-party review integrations than GitHub
  • AI features tied to Premium
  • Smaller community
  • Data Center pricing not on cloud page
4

Gerrit Code Review

Best for: Large projects that want strict commit-by-commit review on self-hosted infrastructure

Gerrit is an open-source, web-based code review system for Git repositories, built around patchsets rather than branches. Each change is a single commit that is reviewed, revised as new patchsets and voted on before it is submitted to the target branch, which keeps history linear and makes every merged commit individually reviewed. Gerrit offers fine-grained permissions and integration with CI/CD pipelines, which typically post verification votes back to the change. The project describes itself as 100% open source with no licensing fees or vendor lock-in, and it is self-hosted, with releases in the 3.x series. Gerrit suits projects that require strict, commit-by-commit review. Its workflow differs from the pull-request model most developers know, so onboarding takes time, and running it requires server administration. It lacks built-in AI review, although plugins and external bots can add automated feedback.

Key features

  • Patchset-based review of individual commits
  • Voting and submit rules
  • Fine-grained permissions
  • CI integration via verification votes
  • Plugin architecture
  • Self-hosted, open source

Pricing

Free and open source; hosting and administration are the user's responsibility.

Licence
Open source
Pricing
Free

Strengths

  • No licence cost
  • Every commit reviewed individually
  • Fine-grained access control
  • Scales to very large projects

Limitations

  • Workflow unfamiliar to pull-request users
  • Requires self-hosting
  • No built-in AI review
  • Dated interface compared with SaaS tools
5

SonarQube

Best for: Teams that want enforced quality gates and security analysis on every change

SonarQube, from Sonar (SonarSource), is a static analysis product widely used for automated code review. It analyses code in more than 40 languages and frameworks for bugs, code smells, security vulnerabilities and coverage, and decorates pull requests in GitHub, GitLab, Bitbucket and Azure DevOps with quality-gate results. It is offered as SonarQube Cloud, SonarQube Server for self-managed deployment and SonarQube for IDE, plus SonarQube Advanced Security for SAST and software composition analysis. In 2026 Sonar also sells Gitar, an AI code review product that reviews every pull request in full context, writes fixes and iterates until CI passes, and has introduced a remediation agent and Sonar Vortex for verifying AI-generated code. SonarQube Cloud pricing is based on lines of code, starting at US$34 per month for up to 100,000 lines on the Team plan, previously listed at US$65, with a free tier. SonarQube complements rather than replaces human review: it enforces rules and finds defects but does not judge design.

Key features

  • Static analysis in 40+ languages
  • Quality gates on pull requests
  • Cloud, Server and IDE editions
  • Advanced Security SAST and SCA
  • Gitar AI review and fixes
  • MISRA and OWASP reporting on Enterprise

Pricing

SonarQube Cloud Free: free tier. Team: from US$34 per month for up to 100,000 lines of code, 14-day free trial. Gitar AI Code Review: US$20 per user per month billed annually. Enterprise (over 50 developers): quote; includes SSO, SCIM, portfolios and BYOK. SonarQube Server priced separately.

Vendor
Sonar (SonarSource)
Starting price
US$34/month (Cloud Team, 100k LOC)
Languages
40+

Strengths

  • Broad language coverage
  • Pricing by code size, not seats
  • Self-managed Server option
  • Recognised security reporting standards

Limitations

  • Rule-based findings need tuning
  • AI review sold as separate Gitar product
  • Enterprise pricing quoted
  • Does not assess design or intent
6

CodeRabbit

Best for: Teams wanting fast AI review on pull requests without CI changes

CodeRabbit is an AI code review service that posts reviews directly on pull requests and also runs in the CLI, the IDE and inside AI coding-agent loops. Its reviewer summarises changes, comments line by line, learns from feedback given by the team and can verify that reported issues have been fixed. The company has added repository-wide scans and CodeRabbit Engineer, which can be assigned engineering tasks through Slack and is billed by agent run minutes. CodeRabbit is free for public open-source repositories, with sign-up through GitHub or GitLab. Paid plans were renamed in 2026: Essentials keeps the former Pro price and Team the former Pro Plus price, with a higher Enterprise-grade Advanced plan. The product's advantage is speed of adoption, since it installs as an app and needs no CI changes. As with every AI reviewer, its comments vary in accuracy and need human judgement, and seat-based pricing at US$24–US$72 per developer per month on annual billing makes it a significant addition to per-user tool costs.

Key features

  • AI line-by-line PR review
  • Reviews in PR, CLI and IDE
  • Learns from team feedback
  • Issue-fix verification
  • Repository scans
  • Free for open-source repositories

Pricing

Essentials: US$24 per developer per month billed annually (US$30 monthly). Team: US$48 annually (US$60 monthly). Advanced: US$72 per user per month. Free for public open-source repositories. Agent usage billed by run minutes. 14-day trial.

Starting price
US$24/developer/month (annual)
Open source
Free for public repos

Strengths

  • Quick installation as an app
  • Free for open source
  • Works across PR, CLI and IDE
  • Learns team preferences

Limitations

  • Per-seat cost adds up
  • AI comments can be noisy
  • Agent features billed separately
  • Plan names changed in 2026
7

Graphite

Best for: Fast-moving GitHub teams adopting small, stacked pull requests

Graphite is a code review platform that works on top of GitHub and is built around stacked pull requests: a developer splits a large change into a sequence of small dependent pull requests, each reviewed separately, and Graphite's CLI keeps the stack rebased. Small pull requests are easier to review, so the approach targets review speed in fast-moving teams. Graphite adds a review inbox, notifications, Slack integration, team insights, a VS Code extension, an MCP server and AI review through Graphite Chat and AI Reviews. In 2026 the company announced that Cursor Cloud Agents are available in Graphite, letting users create, review and ship changes from the pull request. The Hobby tier is free for personal repositories with limited AI reviews; Starter costs US$20 per user per month billed annually and supports all GitHub organisation repositories; Team, at US$40, adds unlimited AI reviews and chat. Graphite supports GitHub only, and its benefits depend on developers adopting the stacked workflow.

Key features

  • CLI for stacked pull requests
  • Review inbox and notifications
  • AI Reviews and Graphite Chat
  • Team insights
  • VS Code extension and MCP
  • Cursor Cloud Agents integration

Pricing

Hobby: free, personal repositories, limited AI reviews. Starter: US$20 per user per month billed annually. Team: US$40 per user per month billed annually, unlimited AI reviews. Enterprise: quote. Annual billing is 20% off monthly.

Starting price
US$20/user/month (annual)
Code host
GitHub

Strengths

  • Makes small pull requests practical
  • Unlimited AI review on Team
  • Good review inbox
  • Free tier for individuals

Limitations

  • GitHub only
  • Requires adopting stacked workflow
  • Starter plan has limited AI
  • Another per-seat tool on top of GitHub
8

Codacy

Best for: Small and mid-sized teams wanting quality and security gates on pull requests

Codacy is an automated code review and code security platform that runs static analysis, SAST, software composition analysis, secrets detection and coverage tracking on every pull request and reports results as comments and status checks. It has added an AI Reviewer and AI governance products, AI Guardrails, AI Inventory and AI Risk Hub, aimed at organisations whose developers use AI coding assistants. A free-forever developer tier provides CLI and IDE plugins for VS Code, JetBrains and Cursor with local quality and security scans across 38 programming languages and agent hand-off for automatic fixes. The Team plan, for teams of up to 30 developers, starts at US$18 per developer per month on yearly billing or US$21 monthly, and Codacy is free for open-source projects. Codacy competes with SonarQube on rule-based analysis but prices per developer rather than per line of code, which suits large codebases maintained by small teams. Its Team plan's 30-developer cap means larger organisations move to quoted Business pricing.

Key features

  • Static analysis in 38 languages
  • SAST, SCA and secrets detection
  • Coverage tracking
  • AI Reviewer
  • IDE plugins for VS Code, JetBrains and Cursor
  • AI Guardrails for assistant-generated code

Pricing

Developer: free forever (IDE and CLI). Team (up to 30 developers): from US$18 per developer per month yearly or US$21 monthly; free trial. Free for open-source projects. Larger plans quoted.

Starting price
US$18/developer/month (yearly)
Languages
38

Strengths

  • Per-developer pricing independent of code size
  • Security and quality in one tool
  • Free for open source
  • IDE plugins with local scans

Limitations

  • Team plan capped at 30 developers
  • Rule-based findings need tuning
  • Larger plans not priced publicly
  • Overlaps with code-host security features
9

DeepSource

Best for: Teams wanting static analysis, AI review and autofix with a self-hosted option

DeepSource is a code health platform that combines static analysis, AI code review and open-source dependency scanning. Its AI review detects bugs, security issues and anti-patterns in every pull request and proposes automatic fixes; it also runs code formatters and supports monorepos. Pricing mixes a seat fee with usage: the Team plan costs US$24 per user per month billed yearly and includes unlimited repositories, pull request reviews and formatting runs, while AI review is metered per 10,000 lines of code processed, US$8 at Standard depth and US$15 at Advanced, with a US$100 annual credit included per user. Dependency scanning includes three targets, with additional targets at US$8 per month. An Enterprise plan adds an enterprise cloud, self-hosted deployment and bring-your-own-key options. The self-hosted option distinguishes DeepSource from most AI review start-ups. Its metered AI pricing requires monitoring for teams with large pull requests.

Key features

  • Static analysis on every PR
  • AI review with automatic fixes
  • Code formatting runs
  • OSS dependency scanning
  • Monorepo support
  • Self-hosted deployment on Enterprise

Pricing

Team: US$24 per user per month billed yearly; AI review US$8 (Standard) or US$15 (Advanced) per 10,000 processed lines, US$100 annual credit per user included; dependency scanning 3 targets included, then US$8 per target per month. Enterprise: custom, self-hosted option. 14-day free trial with up to US$50 in AI credits.

Starting price
US$24/user/month (yearly)
Deployment
Cloud or self-hosted (Enterprise)

Strengths

  • Automatic fixes
  • Self-hosted option
  • Unlimited repositories on Team
  • Transparent usage rates

Limitations

  • AI usage metered by lines processed
  • Costs harder to predict
  • Smaller vendor
  • Self-hosting only on Enterprise
10

Qodo

Best for: Teams wanting AI review with team-wide rules and pooled usage

Qodo is an AI code quality company whose multi-agent code review platform enforces organisational standards on every pull request and draws on a knowledge base built from the codebase and pull-request history. The company offers its product free for open-source projects. The Pro Team plan, designed for up to 30 users, costs US$30 per user per month with unlimited reviews, a 14-day free trial without a credit card and no annual commitment. Additional AI usage is bought as credits at US$0.015 each, pooled across the team, with no rate limits, and an Enterprise tier serves larger organisations. Qodo positions itself on review depth and on enforcing organisational coding rules, rather than only commenting on diffs. As with other AI reviewers, quality of comments depends on the context and rules configured, and organisations above 30 users need Enterprise pricing.

Key features

  • AI pull-request review
  • Team coding-standard enforcement
  • Pooled credits with no rate limits
  • Free for open-source projects
  • No annual commitment on Pro Team
  • Enterprise deployment options

Pricing

Pro Team: US$30 per user per month (up to 30 users), unlimited reviews, 14-day free trial. Credits US$0.015 each, pooled across the team. Free for open-source projects. Enterprise: quote.

Starting price
US$30/user/month
Open source
Free

Strengths

  • No annual commitment
  • Pooled credits
  • Free for open source
  • Unlimited reviews on Pro Team

Limitations

  • Pro Team limited to 30 users
  • Credit usage adds variable cost
  • Enterprise pricing not published
  • AI comments need human verification
11

Greptile

Best for: Teams wanting codebase-aware AI review without per-seat fees

Greptile is an AI code review product whose pull-request reviews can draw on cross-repository context, learned team preferences and custom context rather than only the diff. It also offers a knowledge base and an MCP server. Greptile's pricing is unusual in having no seat fees: the Pro plan supports unlimited developers and agents, and the organisation buys credits at US$1 each, shared across the team, with a base review costing one credit and a deeper Plus review three credits. A free Starter plan for one developer includes 50 credits per month, and Enterprise is custom-priced. Greptile also offers free usage for qualifying open-source projects and 500 free credits a month for six months to pre-Series A start-ups with under US$2 million of revenue. The credit model favours large teams with modest review volumes; organisations with many pull requests should compare total credit spend with seat-based rivals.

Key features

  • Cross-repository context
  • Custom context
  • Learning and custom rules
  • Knowledge base and MCP
  • Unlimited developers and agents
  • Base and Plus review depths

Pricing

Starter: free for one developer, 50 credits per month. Pro: US$1 per credit, no seat fees; base review 1 credit, Plus review 3 credits. Enterprise: custom. 14-day free trial; start-up and open-source programmes.

Pricing basis
US$1 per credit, no seats
Free plan
1 developer, 50 credits/month

Strengths

  • No per-seat fees
  • Cross-repository context
  • Free starter plan
  • Start-up and OSS programmes

Limitations

  • Cost scales with review volume
  • Plus reviews cost three times more
  • Smaller vendor
  • AI comments need human verification
12

SmartBear Collaborator

Best for: Regulated industries needing auditable code and document review

Collaborator, from SmartBear Software, is a peer review tool designed for organisations that must document their review process, such as automotive, aerospace and defence, healthcare, financial services, video games and embedded systems companies. It supports review of code and of other artefacts, including documents, with custom review templates, defect tracking, reporting for process improvement, regulatory compliance features and the ability to save reviews to a zip file as an audit record. Collaborator integrates with 11 source-control systems and supports GitHub pull requests, so teams can keep the code host while recording formal reviews in Collaborator. SmartBear describes its plans as customisable so that buyers pay for what they need, and prices are quoted; a free trial is available. The product is heavier than pull-request review and is chosen where auditable, checklist-driven review is a requirement rather than a preference.

Key features

  • Code and document review
  • Custom review templates and checklists
  • Defect tracking
  • Compliance reporting
  • Integration with 11 SCMs
  • GitHub pull request support

Pricing

Quote-based customisable plans; free trial available.

Vendor
SmartBear Software
Pricing
Quote-based

Strengths

  • Audit-ready review records
  • Reviews documents as well as code
  • Works with many SCMs
  • Process metrics and reporting

Limitations

  • No published prices
  • Heavier than pull-request review
  • Limited AI assistance
  • Separate tool from the code host
13

P4 Code Review

Best for: Studios and teams that use Perforce P4 version control

P4 Code Review is Perforce's web-based code review tool for P4, Perforce's version control system; its product screenshots still carry the earlier Helix Swarm name. It integrates with data stored in P4, supports pre-commit and post-commit review models, tracks in-progress and historical reviews, and offers multiline comments, reactions and votes, SSO, MFA and an API. Users can request and open reviews from within the P4V client. An optional AI feature explains code or suggests improvements, but requires the customer's own OpenAI account and API key. P4 Code Review is free for existing P4 and P4 Cloud users, and P4 itself is free for small teams of up to five users and 20 workspaces. It is the natural choice for organisations that already keep their source and assets in P4. It is not designed for Git repositories, which limits its use outside Perforce environments.

Key features

  • Pre-commit and post-commit review
  • Integration with P4 and P4V
  • Review history and votes
  • SSO and MFA
  • Configurable API
  • Optional AI explanations (own OpenAI key)

Pricing

Free for P4 and P4 Cloud users. P4 is free for up to 5 users and 20 workspaces.

Vendor
Perforce Software
Pricing
Free with P4

Strengths

  • No extra cost for P4 users
  • Pre-commit and post-commit models
  • Built into P4V workflow
  • SSO and MFA

Limitations

  • P4 only, not Git
  • AI needs customer's OpenAI key
  • Limited third-party ecosystem
  • Requires a P4 server
14

Review Board

Best for: Teams needing self-hosted review across mixed version-control systems

Review Board is an open-source web-based tool for code review, image review and document review, developed by Beanbag. Developers post changes for review from the command line using RBTools, a set of command-line tools and a Python API, and the companion RB Gateway manages Git and Mercurial repositories inside a company network. The core product is free to self-host. Commercial add-ons include Power Pack, which adds enterprise integrations, reports and enhanced document review and can be tried for 60 days, and RBCommons, a hosted Review Board service. Review Board appeals to teams that need review across mixed version-control systems or want to review documents and images in the same tool as code, and to organisations that prefer self-hosted open-source software. Its interface and integrations are less extensive than those of the major code hosts, and it has no built-in AI reviewer.

Key features

  • Code, image and document review
  • Command-line posting via RBTools
  • Python API
  • Power Pack enterprise add-on
  • Hosted RBCommons service
  • Open source

Pricing

Core: free and open source. Power Pack: commercial add-on with 60-day trial. RBCommons: hosted service, priced on its pricing page.

Licence
Open source
Hosted option
RBCommons

Strengths

  • Free and open source
  • Reviews documents and images
  • Works with several VCS
  • Hosted option available

Limitations

  • No built-in AI review
  • Smaller community
  • Separate tool from code host
  • Enterprise features cost extra

Comparison table

Based on vendor pricing pages and documentation, November 2026.

ToolTypeCode hosts / VCSFree optionSelf-hostedAI review
GitHub + CopilotPull requests + AIGitHubFree / AI creditsNoYes
GitLab + DuoMerge requests + AIGitLabFree tierYesYes
BitbucketPull requestsBitbucketFree (5 users)Data CenterPremium
GerritPatchset reviewGitOpen sourceYesNo
SonarQubeStatic analysis + Gitar AIGitHub, GitLab, Bitbucket, Azure DevOpsFree tierServerYes (Gitar)
CodeRabbitAI reviewGitHub, GitLabOpen source freeNoYes
GraphiteStacked PRs + AIGitHubHobby freeNoYes
CodacyStatic analysis + AIMultipleDeveloper freeNoYes
DeepSourceStatic analysis + AIMultipleTrialEnterpriseYes
QodoAI reviewMultipleOpen source freeEnterpriseYes
GreptileAI reviewMultipleStarter freeEnterpriseYes
CollaboratorFormal peer review11 SCMsTrialYesLimited
P4 Code ReviewPre/post-commit reviewPerforce P4Free with P4YesOwn OpenAI key
Review BoardCode/document reviewMultiple VCSOpen sourceYesNo

Alternatives by use case

  • Review inside the code host: GitHub pull requests, GitLab merge requests, Bitbucket.
  • AI reviewer added to existing workflow: Copilot code review, CodeRabbit, Qodo, Greptile, Gitar.
  • Rule-based quality and security gates: SonarQube, Codacy, DeepSource.
  • Small, stacked pull requests: Graphite.
  • Strict self-hosted per-commit review: Gerrit.
  • Auditable review in regulated industries: SmartBear Collaborator.
  • Perforce environments: P4 Code Review.
  • Mixed VCS and document review: Review Board.

Teams that also need to automate test runs on each change should pair these with CI/CD tools, and security-focused teams with application security testing tools.

Recent developments

  • 2026: GitHub documented an agentic mode for Copilot code review that gathers full repository context and can pass fixes to Copilot cloud agent (public preview), with billing in AI credits and a Max effort level in preview.
  • 2026: GitLab listed Code Review Flow, an agentic reviewer that uses GitLab Credits, alongside the Duo Enterprise code review feature.
  • 2026: Sonar added Gitar AI Code Review at US$20 per user per month, a remediation agent and Sonar Vortex, and cut the SonarQube Cloud Team starting price from US$65 to US$34 per month.
  • 2026: CodeRabbit renamed its plans to Essentials, Team and Advanced without changing existing prices, and launched CodeRabbit Engineer billed by agent minutes.
  • 2026: Graphite made Cursor Cloud Agents available inside its pull-request interface.

Frequently asked questions

What is the best code review tool?

For most teams the best starting point is the review feature of their code host: GitHub pull requests, GitLab merge requests or Bitbucket pull requests. Teams then add static analysis such as SonarQube or Codacy for rule-based checks, and an AI reviewer such as Copilot code review, CodeRabbit or Qodo to reduce reviewer workload. Regulated industries may need Collaborator.

Can AI replace human code review?

Not according to the vendors themselves. GitHub's documentation states that Copilot is not guaranteed to spot all problems and sometimes makes mistakes. AI reviewers are useful for catching common defects, summarising changes and suggesting fixes, but design decisions, business logic and accountability for merged code still require human reviewers.

How much does AI code review cost?

Prices in November 2026 ranged from free open-source tiers to around US$20–US$72 per developer per month for seat-based tools such as Graphite, CodeRabbit and Qodo. GitHub charges Copilot reviews in AI credits, estimating about US$0.25 to US$10 per review depending on effort, and Greptile charges US$1 per credit with no seat fees.

What is the difference between static analysis and AI code review?

Static analysis tools such as SonarQube, Codacy and DeepSource apply defined rules to find bugs, vulnerabilities and style issues consistently. AI code reviewers use language models to comment on intent, logic and readability, and can explain or fix code, but their output varies. Many teams use both, and several vendors now sell both.

Is Gerrit better than GitHub pull requests?

Gerrit reviews each commit as a patchset and enforces strict voting before submission, which keeps history clean and suits very large projects. GitHub pull requests review branches with a more familiar interface and a large ecosystem of integrations. Gerrit is free and self-hosted, while GitHub is SaaS-first, so the choice depends on workflow and hosting needs.

Which code review tools are free?

Gerrit and Review Board are free open-source tools. Pull-request review is included in free plans of GitHub, GitLab and Bitbucket. P4 Code Review is free for Perforce P4 users. CodeRabbit, Codacy and Qodo are free for open-source projects, and Graphite, Greptile and SonarQube Cloud have free tiers.

What tools support code review for Perforce?

Perforce's own P4 Code Review, formerly Helix Swarm, is free for P4 and P4 Cloud users and supports pre-commit and post-commit review from within the P4V client. SmartBear Collaborator and Review Board also support several non-Git version-control systems.

See also

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