Software advice
Best AI Code Review Tools in 2026
An AI code review tool is software that reads the changes in a pull request, often with context from the rest of the repository, and posts comments, summaries and suggested fixes for a human reviewer to accept. It checks for bugs, security issues and standards violations. It is not a code generator, and it does not replace the person who approves the merge.
Quick answer
Greptile ranks first for teams that prefer paying per review instead of per seat. cubic suits small GitHub teams that want custom review agents, and Qodo fits organizations that enforce written rules across repositories.
A team adding AI review has to decide what kind of reviewer it wants. Some tools comment on every pull request using the full repository, some are static analyzers that grew an AI layer, and some are workflow platforms where review is one feature. Pricing is split too: per seat, per credit, per reviewed line, or per line of code scanned. This ranking judges how useful the comments are in a real repository, what a month costs once volume grows, where your code is stored, how hard it is to leave, and which team size each tool suits. Prices are as of October 2026.
The 12 best AI code review tools in 2026, ranked
There is no score. Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. How we rank.
| # | Tool | Best for | Free plan | Entry price |
|---|---|---|---|---|
| 1 | Greptile | Teams that want review comments grounded in the whole repository and billed per review rather than per seat | Yes | Free for 1 developer, then $1 per credit |
| 2 | cubic | Small GitHub-based teams that want custom review agents and an explicit allowance of reviewed lines | No | $40 per developer per month (Team) |
| 3 | Qodo | Organizations that want rules enforced on every pull request and cross-repository checks | Trial | $30 (Pro Team, credit-based) |
| 4 | CodeRabbit | Teams on any major Git host who want review in the PR, the CLI and the IDE | Trial | $24 per user per month (Essentials, annual) |
| 5 | Sourcery | Small teams on GitHub or GitLab that want a short install and a low per-seat price | Yes | $12 per developer per month (Pro, annual) |
| 6 | Graphite | Teams that already work in stacked pull requests and want AI review inside that workflow | Yes | $20 per user per month (Starter, annual) |
| 7 | DeepSource | Teams that want static analysis and formatters on every PR plus metered AI review | Trial | $24 per user per month (Team, annual) |
| 8 | Codacy | Teams that want code quality, security scans and an AI reviewer from one dashboard | Yes | $18 per developer per month (Team, annual) |
| 9 | SonarQube Cloud | Organizations that measure quality and security by lines of code and need rule-based gates in CI | Yes | From $34 per month (Team, up to 100k lines) |
| 10 | Snyk Code | Security-focused teams that want static analysis of first-party code in pull requests | Yes | $25 per month (Team, up to 10 developers) |
| 11 | Bito | Teams that want pull request, IDE and command line reviews from one per-seat plan | Trial | $12 to $15 per seat per month (Team), by billing term |
| 12 | CodeAnt AI | Teams that want pull request review, security scanning and quality gates under one login | Trial | Quoted |
- 1
Greptile
Greptile takes first place because it prices review as a metered credit instead of a seat, so a ten-person team and a forty-person team pay for what they review. Starter is free for one developer, Pro unlocks custom context and cross-repo context, and Enterprise can be self-hosted. The catch is that spend follows PR volume and review depth, which is harder to forecast than a fixed seat count.
Strong on
- No seat fees, so unlimited developers and agents share one pool of credits
- Self-hosting is offered on Enterprise, including GitLab Self-Managed and Bitbucket Data Center
- Learning and custom context, a knowledge base and MCP access come with Pro
Weak on
- Credit use depends on review depth, so a busy month is hard to predict
- Cloud plans keep customer code cached on Greptile's AWS servers until access is revoked
Skip it if: Buyers who need a fixed monthly invoice per seat, or who cannot allow any cached copy of code on a vendor cloud. Starter gives 50 credits monthly; Pro has no seat fee. A base review costs 1 credit, Apex 10.
- 2
cubic
cubic ranks second because its plans are built around reviewed lines and custom review agents, which gives a clear ceiling per developer. Team starts at $40 and includes five custom agents and auto-fix. It sits below Greptile on openness: the docs say GitHub only for now, there is no permanent free plan on the pricing page, and the SOC 2 report named is Type I.
Strong on
- Five custom review agents on Team and ten on Pro, each with its own instructions
- Allowance is stated up front as reviewed lines per developer
- Integrations with Jira, Linear and Asana on the entry plan
Weak on
- The docs state GitLab and Bitbucket are not supported yet
- Pricing page shows paid plans only, and the SOC 2 report named is Type I
Skip it if: Teams hosting code on GitLab or Bitbucket, or buyers who want a permanent free tier for private repositories. Team includes 40,000 reviewed lines per developer; Pro is $99 and Max $200, with larger line allowances.
- 3
Qodo
Qodo, the product formerly sold under the CodiumAI name, sits third because its review is organized around written rules and a pooled credit balance, with an overage cap you set. Pro Team is meant for up to 30 users. Self-learning, SSO, audit logs and bring-your-own-keys wait on Enterprise, and the missing free tier means evaluation happens in a 14-day trial.
Strong on
- Rules system with no stated limit, plus git and IDE integrations on Pro Team
- Customer-set monthly overage cap and monthly billing with no annual commitment
- Single-tenant SaaS and on-prem deployment are available on the Enterprise plan
Weak on
- No permanent free tier; reviews pause when the trial ends until a plan is chosen
- Self-learning, SSO, audit logs and BYOK are Enterprise only
Skip it if: Solo developers who want a free plan for private repositories, or teams above 30 users who want self-serve pricing. Credits pool across the team at $.012 each; 14-day trial, no card, no permanent free tier.
- 4
CodeRabbit
CodeRabbit lands fourth: it is the widest product here, with reviews in the pull request, CLI and IDE, but the best features sit in higher tiers. Test generation and finishing touches start at Team, and security and blast-radius analysis at Advanced. Its volume also makes it the default comparison point, so smaller tools above it are worth a trial first.
Strong on
- Reviews run in the pull request, the CLI, the IDE and coding-agent loops
- Pre-merge checks and slop detection for low-quality AI-written PRs on every plan
- Documented DPA, a DORA addendum and a self-hosted addendum
Weak on
- Essentials links only one repository and caps reviews at 5 per developer each hour
- Unit-test generation and post-merge actions are not on the entry plan
Skip it if: Budget-limited teams that need several repositories and test generation without moving to the $48 tier. Essentials links one repository; Team is $48, Advanced $72. Annual billing saves 20%.
- 5
Sourcery
Sourcery is fifth: it is the cheapest paid seat on this list and installs in about two minutes on GitHub or GitLab. Review covers summaries, diagrams and one-click fixes. It ranks below the larger platforms because the Pro tier has only higher review limits than the free plan and security scanning needs the $24 Team tier.
Strong on
- Open-source repositories get AI review free, with custom rules and auto-approval of low-risk PRs
- Bring your own LLM keys and self-hosting on Enterprise
- Vendor states no copy of code is kept after a review
Weak on
- Security scanning and nightly scans of 50 repositories start at the Team tier
- Free plan covers public repositories only, so private repositories need a paid seat
Skip it if: Companies that need review of private repositories at no cost, or Azure DevOps and Bitbucket users. Open-source projects are free; Pro is $15 monthly. Team at $24 annual adds nightly scans of 50 repositories.
- 6
Graphite
Graphite is sixth because code review is one part of a workflow tool built around stacked PRs, a CLI and a merge queue, not a standalone reviewer. That helps if you stack changes and adds little otherwise. AI reviews are limited below the $40 Team tier, and its site now advertises Cursor Cloud Agents inside the PR.
Strong on
- CLI for stacked PRs plus a VS Code extension and MCP on the free tier
- Merge queue and CI optimizer included on Team
- SOC 2 Type II compliance stated on its privacy and security page
Weak on
- Unlimited AI reviews and chat start at the $40 Team tier
- Hobby covers personal-account repositories only, and GHES support is Enterprise only
Skip it if: Teams that do not stack changes, or that host code on GitLab or Bitbucket. Hobby is free with limited AI reviews; unlimited AI reviews and merge queue need Team at $40.
- 7
DeepSource
DeepSource is seventh because the seat price covers analysis and formatting while AI review is billed on top by processed lines, so the total is harder to forecast. It offers unlimited repositories and pull request reviews on Team. Its site now says DeepSource has joined Harness, which a buyer should read before committing to a roadmap.
Strong on
- Unlimited repositories, PR reviews and code-formatting runs come with the Team plan
- Enterprise offers self-hosting and bring-your-own API keys for AI review
- Open-source dependency scanning is included, with 3 targets on the Team plan
Weak on
- AI review and Autofix are billed per processed line beyond bundled credit
- Extra dependency-scanning targets cost $8 each per month
Skip it if: Buyers who want one flat price per seat with AI review fully included. AI review is metered beyond a $100 annual credit per user, from $8 per 10K processed lines.
- 8
Codacy
Codacy ranks eighth because it is a quality and security platform first, and the AI Reviewer is one feature among scans, coverage and merge gates. That fits teams replacing several tools with one, from a free IDE plugin up to Business. For a team that only wants pull request comments, the dashboard is more than it needs.
Strong on
- Free forever for open-source projects and a free IDE plugin for individuals
- Scan coverage across 49 languages for shared coding standards
- SOC 2 and GDPR compliance stated in its site footer
Weak on
- Team plan caps at 100 private repositories and 30 developers
- AI Reviewer and merge gates start on Team, not on the free plugin
Skip it if: Teams of more than 30 developers who want self-serve pricing, or those wanting review comments only. Developer IDE plugin is free; Team is $21 monthly for up to 30 developers and 100 private repositories.
- 9
SonarQube Cloud
SonarQube sits ninth because it is a rule-based code verification platform that has added AI code review through its Gitar product, which is billed separately at $20 per user per month. It is established and priced by lines, not seats. The AI review layer is newer than the static analysis core, and the two are bought as separate subscriptions.
Strong on
- Free tier for private projects up to 50k lines and free plans for open-source maintainers
- Enterprise lists zero data retention and bring-your-own LLM keys
- Self-managed SonarQube Server is offered for teams that host their own
Weak on
- Gitar AI Code Review is a separate subscription from the SonarQube plan
- Line-based pricing grows with the size of the largest branch in each project
Skip it if: Teams that want a single seat-based invoice for review only, or that do not care about quality gates. Priced by lines of private code, not seats; the free tier covers private projects up to 50k lines.
- 10
Snyk Code
Snyk Code ranks tenth in this list because it is a security scanner more than a general code reviewer: it finds vulnerabilities, not style or logic problems. For teams where findings must be security-triaged, that focus is the reason to pick it. As a pull request reviewer for everyday quality, every tool above it comments on more.
Strong on
- Interfile analysis for all supported languages except Ruby
- Same plan bundles open source, IaC and container scanning
- Snyk states Code does not use customer code for engine training
Weak on
- Test counts are capped per month: 100 on Free and 1,000 on Team
- Evo capabilities such as AI pentesting need an Enterprise subscription
Skip it if: Teams that want comments on readability, structure and general bugs rather than security findings. Free allows 100 Snyk Code tests a month; Team raises that to 1,000 and projects from 5 to 100.
- 11
Bito
Bito ranks eleventh because its review agent is sold per seat with a metered line allowance, which makes cost harder to predict than flat plans above it. It reviews in Git hosts, IDEs and CLI, and its documentation states code is not used for model training. The product line has also widened into routing and architecture tools, so reviewing is one product among several.
Strong on
- Reviews run in GitHub, GitLab and Bitbucket as well as VS Code, JetBrains, Cursor and Windsurf.
- Docs state no code is used for model training and list SOC 2 Type II.
- Professional adds custom guidelines, CI/CD pipeline reviews and a self-hosted option at an extra seat fee.
Weak on
- Each seat includes 5K lines a month, and extra lines are billed at $5 per 1K.
- Enterprise pricing and usage limits are quoted by sales, not published.
Skip it if: Teams that want a flat, unmetered price per repository or a reviewer built around a single product focus. Team includes 5K lines per seat per month, then $5 per extra 1K lines; Professional is $20 to $25.
- 12
CodeAnt AI
CodeAnt AI ranks twelfth because the pricing page publishes no figures a buyer can compare, and its data terms were not found on the pages opened. The scope is wide: pull request review, SAST, secrets, IaC, dependency scanning, quality gates and engineering metrics. That breadth suits teams consolidating tools. It is a weaker pick for anyone who needs a price before a call.
Strong on
- Documents review plus SAST, secrets, IaC, SCA, DAST and penetration testing in one product.
- Offers a CLI, an MCP server and an API reference for scripting analysis.
- Lists a free first AI pentest scan and a discount for open source projects.
Weak on
- Plan prices are not visible without running the page script, so cost could not be compared.
- The vendor data and training terms were not checked on the pages read.
Skip it if: Buyers who need published per-seat prices and a data retention statement before starting a trial. Prices load by script and were not read; a 14-day trial and an open source discount are listed.
How these AI code review tools were judged
How useful are the comments an AI code review tool leaves?
Usefulness comes down to how much of the repository the tool reads and how few comments are noise. Greptile, CodeRabbit and Qodo advertise cross-repository or whole-codebase context, while analyzers like SonarQube and Snyk Code apply fixed rules and report fewer, more predictable findings. Vendors publish their own benchmarks, and none of those numbers are independent. A fair test is to run two tools on the same ten merged pull requests and count how many comments you would have acted on. Custom rules matter more than headline accuracy, because a reviewer that learns your standards stops repeating comments you already dismissed.
What does AI code review cost for a ten-person team?
The same team pays very different amounts depending on the pricing unit. Per-seat tools such as Sourcery at $12 and CodeRabbit at $24 per user are easy to forecast. Greptile charges $1 per credit with no seats, cubic gives each developer 40,000 reviewed lines on its $40 Team plan, and DeepSource adds metered AI review on top of its $24 seat. SonarQube Cloud charges by lines of private code, not people. Multiply the entry price by your headcount, then add the cost of a month with twice your normal pull request volume.
Where does an AI code review tool keep and process your code?
Review tools must read your code, so check three things: how long a copy stays on the vendor side, which model providers see it, and whether it is used for training. Sourcery says it keeps no copy after a review. CodeRabbit says cached data for private repositories expires within seven days and it never trains on code. Greptile caches code until access is revoked and offers an opt-out from AI training on aggregated data. Snyk says Code does not train its engine on customer code. For strict requirements, ask about self-hosting and zero-retention agreements.
How hard is it to switch AI code review tools later?
Switching is cheap compared with an editor change, because review tools sit beside your repository instead of inside it. The cost sits in the configuration: custom rules, learned preferences, review agents and dashboards do not export between vendors. Quality platforms like Codacy and SonarQube also hold history of issues and coverage trends that you lose when you leave. Graphite carries the most habit risk, since stacked pull requests change how the team works. A practical hedge is to keep review rules in plain files in the repository where the tool allows it.
Which AI code review tool fits which team?
Small GitHub teams that want quick value tend to land on cubic, Sourcery or CodeRabbit. Larger organizations with several Git hosts or air-gapped needs should look at Greptile and Qodo, which list self-hosted or single-tenant options on Enterprise. Teams that already track quality metrics across many repositories fit Codacy, DeepSource or SonarQube. Security teams that need findings tied to vulnerabilities add Snyk Code. Check Git host support first, since cubic says GitHub only and several others cover GitLab and Bitbucket only on higher plans.
How to choose an AI code review tool in three steps
- Pick the pricing unit that matches your pull request volume. List how many developers you have and how many pull requests they merge in a typical month and in a busy one. Seat-priced tools like Sourcery and CodeRabbit favor teams with steady volume. Credit or line-based pricing, as at Greptile and cubic, favors teams with uneven volume or many occasional contributors. Ask each vendor what happens at the limit: whether reviews pause, overage is billed, or a cap you set stops the spend. Write the answer down next to the price.
- Run two tools on the same merged pull requests. Take ten pull requests that have already been merged, including one that later caused a bug. Run two or three candidates on them in a trial and note which comments you would have acted on and which were noise. Most paid plans here have a 14-day trial, and Qodo's needs no card. Judge the tool on its comments for your code, not on the demo repositories or the benchmark pages the vendors publish. Ask the developers who received the comments, not only the person who set the tool up, since they will live with the noise.
- Check Git host, data terms and deployment before you commit. Confirm the tool supports your host, since cubic says GitHub only and others vary by plan. Read the data page for retention, training and which model providers see your code. If you need self-hosting, check that it is part of the plan you can afford, because Greptile, Qodo and Sourcery list it on Enterprise. Then ask whether rules and learned preferences can be exported, so leaving later does not mean starting over. Finally, confirm who owns the invoice and the admin settings, because trials started by one developer often end up unmanaged.
Frequently asked questions
What is the best AI code review tool in 2026?
Greptile ranks first in this list because it charges per review credit instead of per seat and offers self-hosting on Enterprise. cubic and Qodo follow for small GitHub teams and rule-driven organizations. The best choice still depends on your Git host, team size and pull request volume, so trial two tools on the same merged pull requests before paying.
Is there a free AI code review tool?
Several tools have free options with limits. Greptile Starter gives one developer 50 credits a month, Sourcery is free for open-source repositories, Graphite has a Hobby plan with limited AI reviews, and Snyk Code Free allows 100 tests a month. SonarQube Cloud is free for private projects up to 50k lines. Qodo and cubic have no permanent free tier on their pricing pages.
Does an AI code review tool train on your private code?
It depends on the vendor and plan. Sourcery and CodeRabbit say they do not train on customer code. Snyk says Snyk Code does not use customer code for engine training. Greptile may use anonymized aggregate data for training unless an admin turns off the setting. Read the vendor's data page for the exact plan you will buy.
Can AI code review replace human reviewers?
No. These tools find likely bugs, missing tests and standards violations, and they write summaries, but a person still approves the merge. Several vendors describe their output as suggestions for a human to accept. The realistic gain is that human reviewers spend less time on routine comments and more time on design and risk.
Do AI code review tools work with GitLab and Bitbucket?
Coverage varies. Sourcery supports GitHub and GitLab, and cubic says GitHub only for now. Greptile lists GitLab Self-Managed and Bitbucket Data Center on Enterprise. CodeRabbit lists several hosts including Azure DevOps and Bitbucket. SonarQube Cloud lists GitHub, Bitbucket, Azure DevOps and GitLab. Confirm host support on the plan you intend to buy.
How is AI code review priced compared with static analysis?
AI reviewers are usually priced per seat or per credit, between $12 and $40 per developer for the entry paid tier. Static analysis platforms often price by lines of code, as SonarQube does from $34 a month for up to 100k lines, or add per-line metering for AI features, as DeepSource does. Compare the monthly total at your own volume.
What is the difference between Qodo and CodiumAI?
Qodo is the current name of the product that was earlier sold as CodiumAI. Qodo's privacy policy names Codium Ltd. as the company, doing business as Qodo, with an address in Tel Aviv, Israel. If you find older reviews under the CodiumAI name, check that the feature or price they describe still exists.
Is a security scanner like Snyk Code a code review tool?
Only in part. Snyk Code analyzes first-party code for vulnerabilities and can report in pull requests, but it does not comment on readability, structure or general logic the way a pull request reviewer does. Many teams run a security scanner next to a general AI reviewer, and the two overlap less than the marketing suggests.