9 Best AI Code Review Tools of 2026

CodeRabbit takes first place because it covers the most ground for a team adding AI review to pull requests. Its docs list support for GitHub, GitLab, Azure DevOps and Bitbucket, which matters for companies that have not standardized on one host. Each PR gets a written walkthrough with diagrams, line comments with one-click fixes, and a chat thread where developers can push back so the reviewer records the feedback as a learning. Pre-merge checks turn custom requirements into gates, and slop detection flags low-quality AI-generated PRs, a growing problem as coding agents open more pull requests. The same review runs earlier in the CLI and IDE. Essentials costs $24 per developer per month billed annually, or $30 monthly. The limits are worth reading: Essentials covers 5 PR reviews per developer per hour, with additional reviews billed at $0.25 per file, and test generation sits on the $48 Team plan.

Greptile ranks second for teams whose bugs hide in how files interact. Its docs describe a graph of the whole repository, every function, class and dependency, which a swarm of agents uses to judge a change beyond the lines in the diff. Findings arrive as PR comments in about 3 minutes, and each comment carries a Fix with your Agent button that hands the file path, line number and suggested code to Claude Code, Codex, Cursor or Devin. Teams can write rules in plain English, and Greptile also learns standards from the comments engineers leave on PRs. Pricing is unusual: Starter is free for one developer with 50 credits a month, and Pro charges $1 per credit with no seat fees, where a base review is 1 credit and an Apex review is 10. That suits large teams with modest PR volume, while busy repositories should model spend before choosing the deeper tiers.

GitHub Copilot code review is the lowest-friction option for teams whose code already lives on GitHub. There is nothing to install: a developer adds Copilot as a reviewer, or owners set rulesets so every pull request is reviewed automatically, with optional reviews on each new push and on drafts. GitHub's docs describe a purpose-built mix of models and prompts and say model switching is not supported for review, which keeps output consistent but removes a control some teams want. Access starts with Copilot Pro at $10 per user per month, and the Free plan does not include it. Usage draws on GitHub AI Credits, so heavy review volume competes with agent and chat use for the same allowance, and reviews are blocked once a budget is reached. Organizations can also turn reviews on for members without a license and pay as additional usage, a practical way to cover occasional contributors.

Cursor Bugbot is aimed at the bugs that matter rather than style comments. Cursor says it combines frontier and in-house models and that more than half of the bugs it finds are fixed by engineers. Once enabled, it reviews new pull requests in the background, and teams shape it with Bugbot Rules; a separate Autofix check can propose changes, and fixes open in the Cursor editor or run through a cloud agent. The docs list GitHub including Enterprise Server, GitLab including self-hosted, Bitbucket including Data Center, and Azure DevOps. Pricing is the catch. There is no Bugbot subscription: on individual plans reviews use included usage, starting with Premium at $30 a month, and on Teams plans they bill from on-demand usage. Cursor puts the average review at $1.00 to $1.50, so a team merging hundreds of PRs a month should set spend limits early.

Graphite earns its place for teams that want to change how they review, not just add a bot. Its core is stacked pull requests: a CLI, VS Code extension and MCP that let developers split work into small dependent PRs, plus an inbox and a merge queue to land them. AI reviews sit on top, with line comments that can be committed in one click, filters for comments you do not want, and custom rules written in plain language or picked from templates such as OWASP and the Google style guides. Graphite says its comments are downvoted less than 5% of the time. The pricing ladder is clear but the AI cap matters: Hobby is free and Starter costs $20 per user per month billed annually, both with limited AI reviews, while unlimited reviews, automations and the merge queue need Team at $40. It is a GitHub product, so GitLab shops should look elsewhere.

Sourcery is the budget pick for teams that want a dedicated reviewer without per-credit maths. Pro costs $12 per developer per month billed annually or $15 monthly and adds private repositories and Jira to the free open source tier. Each pull request gets inline comments, a summary with diagrams and a status check, and teams can write review rules and let Sourcery auto-approve low-risk PRs. The Team plan at $24 adds codebase security, with nightly scans of 50 repositories covering secrets, SAST, infrastructure as code, dependencies and licenses. Its docs list GitHub, GitLab, GitHub Enterprise Server and self-hosted GitLab, and its pricing page puts GitHub Enterprise Server on the Enterprise plan while self-managed GitLab works on every plan. Sourcery says it does not keep a copy of reviewed code and holds SOC 2 Type II. The feature set is narrower than the leaders, with no cross-repo context or agent handoff described, which is why it ranks mid-table.

Qodo is strongest where review problems cross repository lines. Its platform maps how repositories depend on each other and flags breaking changes before they reach downstream services, and a rules system turns tribal knowledge and PR history into standards that every review enforces. Qodo describes itself as Git agnostic across GitHub, GitLab, Bitbucket and Azure DevOps, and Enterprise adds single-tenant SaaS, on-premises deployment, bring-your-own LLM keys and Gerrit. Pricing is credit based at $0.015 a credit, pooled across a team of up to 30 users, with no limits on repositories or users. The entry Pro Team pack is $30 a month, but Qodo's own page estimates about 14 reviews a month at that level, with larger packs for heavier use and overage at the same rate up to a cap you set. Credits expire monthly, so value depends on sizing the pack to real PR volume.

cubic focuses on keeping pull requests moving as well as finding bugs. Safe changes such as dependency bumps and copy edits can be approved automatically, while the rest get a merge confidence score from 1 to 5 so reviewers know where to look. Rules can be written in plain English, and cubic also turns senior engineers' past review comments into rules that run on every PR. Its home page describes context beyond the diff, including changes that break code in another repository, and a CLI that applies the same rules before a push. The Team plan costs $40 per developer per month billed monthly, with 20% off yearly, and includes 40,000 reviewed lines per developer, five custom review agents and Jira, Linear and Asana. Nightly codebase scans and Confluence and MCP integrations start on Pro at $99. The price is the highest entry seat on this list, which holds back its value score.

Bito is a practical choice for teams on self-hosted Git. Its product page lists GitHub cloud and Enterprise, GitLab cloud and self-hosted, and Bitbucket cloud and Enterprise, and the agent can run in Bito's cloud or from self-hosted Docker images. Reviews include a PR summary with an effort estimate, a changelist table, line-level fixes accepted in one click and chat in the PR, and Bito runs static analysis, popular linters and security tools such as Snyk alongside the model. The Team plan costs $12 per seat per month billed annually or $15 monthly and includes 5,000 reviewed lines per seat, with $5 per extra 1,000 lines. Custom review guidelines, learning from feedback, Jira and Confluence validation and CI/CD pipeline reviews need Professional at $20 billed annually. It ranks last because cross-repo analysis is reserved for Enterprise and the line cap can raise bills for teams with large PRs.