Best Code Review Tools in 2026 (Tested and Ranked)

CodeRabbit

CodeRabbit is an AI reviewer that drops line-by-line comments and a PR summary directly into your GitHub or GitLab pull requests. It's the most widely installed code review app on both platforms, and in February 2026 it earned the data to back that up.

Martian, a research lab staffed by people from DeepMind, Anthropic, and Meta, published the first independent benchmark for AI code review agents. They tested 10 tools across roughly 300,000 real pull requests, measuring which comments developers actually acted on. CodeRabbit came out #1 on F1 score at 51.2%, with 49.2% precision (about one in two comments leads to a code change) and the highest recall of any tool tested. That recall number matters: it means CodeRabbit catches more real issues than competitors, not just that it talks a lot.

Best for: teams of any size that want a strong default reviewer without a lot of tuning. It's the safest pick on this list.

Pricing: the Pro plan is $24 per developer per month billed annually, with Pro Plus at $48 for higher limits and custom pre-merge checks. There's a real free tier with a 14-day Pro Plus trial, no card required, and it's free for open source.

The standout is the combination of accuracy and breadth. It runs linters and SAST tools alongside the AI review, integrates with Jira and Linear, and you can chat with it inside the PR to refine a suggestion.

The catch: even the best reviewer on the benchmark sits at 49% precision, which means half of its comments don't lead to a change. You still need a human reviewer, and on smaller PRs the summary can feel like overkill. The Pro plan also caps you at 5 reviews per developer per rate-limit window, so very active teams may need the usage-based add-on.

Greptile

Greptile takes a different angle: instead of reviewing a diff in isolation, it indexes your entire repository and reasons about how a change ripples through the rest of the codebase. If a PR touches a function that's called in fifteen other places, Greptile is the tool most likely to flag the one caller that breaks.

Best for: large or multi-service codebases where bugs hide in the connections between files, not inside a single diff. If your team works in a sprawling backend with a lot of shared internal libraries, this is the one to try first.

Pricing: the Pro plan is $30 per seat per month and includes 50 code reviews per seat, with $1 per extra review after that. Repositories and users are unlimited. There's a 14-day free trial, it's free for qualifying open-source projects, and early-stage startups (pre-Series A, under $2M revenue) get 50% off.

The standout is depth. In my testing it caught a cross-file inconsistency that two other tools sailed past, because it actually understood the function being changed had downstream dependencies.

Where it falls short: that depth costs latency. Greptile takes longer to return a review than a lightweight reviewer like Diamond, and the 50-review-per-seat cap means a busy team can blow through the included quota and rack up overage. On small, self-contained PRs the whole-repo context is wasted effort.

Graphite (Diamond)

Graphite is a code review platform built around stacked pull requests, the workflow where you break a big feature into a chain of small, dependent PRs. Its AI reviewer, Diamond, was built to be fast and low-noise, and it lives inside the Graphite UI rather than the GitHub comment thread.

Best for: teams that already use or want to adopt stacked PRs, and reviewers who hate notification spam. Diamond is deliberately quiet, which is a feature if you've been burned by chatty bots.

Pricing: Diamond is bundled into the Starter plan at $20 per user per month, with limited AI reviews. The Team plan at $40 per user per month unlocks unlimited AI reviews, customizations, and a merge queue. There's a free Hobby tier for personal repos.

The standout is the workflow integration. If you live in stacked PRs, having the reviewer, the merge queue, and the CI optimizer in one place is genuinely faster than bolting an AI bot onto a standard GitHub flow.

The catch: you're buying into Graphite's whole platform, not just a reviewer. If your team is happy with the standard GitHub PR flow and doesn't want to learn stacking, most of what you're paying for goes unused. Diamond on its own is a smaller, lighter model than CodeRabbit or Greptile, so it catches fewer deep bugs in exchange for speed and quiet.

If you're still mapping out which AI tools belong in your stack, the Dupple X bundle and our top tools roundup are a faster way to compare options than reading twenty vendor pages.

Qodo

Qodo (formerly Codium AI) is an agentic PR reviewer with an unusually strong focus on test coverage. Beyond flagging bugs, it analyzes what your change doesn't test and suggests the missing cases, which is rare among these tools.

Best for: teams that care about test quality and want a usable free tier before committing budget. The free Developer plan gives you 30 PR reviews and 250 IDE/CLI credits a month, which is enough to evaluate it properly or cover a solo dev.

Pricing: the Pro Team plan is $30 per user per month, and only users who actually trigger reviews need a paid seat. Credit packs scale from roughly 18 reviews/month up to about 143. Enterprise adds SSO, audit logs, and bring-your-own-LLM-keys.

The standout is test-gap analysis. If your reviews keep approving code with thin test coverage, Qodo is the tool that calls it out.

Where it falls short: the credit-based pricing is harder to predict than a flat per-seat fee, and heavy users can burn through a pack faster than expected. It didn't place at the top of the Martian benchmark for raw bug-catching, so think of it as a quality-and-tests reviewer rather than a pure bug hunter.

Cursor Bugbot

Bugbot is Cursor's code review agent, and in mid-2026 it made a pricing move worth knowing about: Cursor dropped the per-seat fee entirely and switched Bugbot to pure usage-based billing. An average run costs about $1.00 to $1.50 depending on PR size.

Best for: teams already in the Cursor ecosystem, and anyone whose review volume is spiky. If you only open a handful of PRs some weeks, paying per run beats paying $40 a seat for capacity you don't use.

Pricing: usage-based. For Teams it draws from on-demand spend; for individuals it comes out of included usage. The old model was $40 per user per month on top of Cursor, with a 200-PR cap, so the new approach is a real saving for variable workloads.

The standout is the billing model itself. No seats, no minimum, you pay for reviews you actually run.

The catch: it's most natural if you're already paying for Cursor, and usage-based pricing can surprise you at renewal if your PR volume climbs. For a high-throughput team shipping dozens of PRs a day, a flat per-seat tool may end up cheaper and more predictable.

GitHub Copilot

If your team is already on GitHub Copilot, it now does lightweight code review natively inside pull requests, reading source files, exploring the directory tree, and running CodeQL and ESLint for security scanning. The appeal is zero extra integration: it's already in your PRs.

Best for: teams that want "good enough" review without adding another vendor, especially if Copilot is already approved and paid for.

Pricing: Copilot Business is $19 per user per month and Enterprise is $39. Important change as of June 1, 2026: code review now draws from a monthly AI credit pool rather than being fully included, and it also consumes GitHub Actions minutes. So it's no longer strictly "free with your subscription."

The standout is native integration and the security scanning that ships with it.

Where it falls short: it's a generalist. Dedicated tools like CodeRabbit and Greptile consistently catch more real bugs because review is their entire product, not a side feature. The new credit-based billing also makes the true cost harder to predict than it used to be.

Semgrep

Semgrep approaches review from the security side. It's a static analysis (SAST) engine that scans diffs against thousands of community rules plus any custom rules you write, catching injection flaws, hardcoded secrets, and unsafe patterns before they merge.

Best for: security-conscious teams that want enforceable, deterministic rules rather than probabilistic AI suggestions. If you need to guarantee a class of bug never ships, a rule beats a model.

Pricing: the open-source Community engine is free with unlimited scans, and the AppSec Platform is free for up to 10 contributors and 10 private repos. Paid Team pricing runs around $35-40 per contributor per month, with modular add-ons for supply-chain and secrets scanning that stack up if you enable everything.

The standout is precision on security. Rule-based scanning doesn't hallucinate, and you can codify your own org's standards as rules that block merges.

The catch: Semgrep isn't a general code reviewer. It won't comment on your architecture or catch a subtle logic bug the way an AI agent will. Most teams run it alongside an AI reviewer, not instead of one, and writing good custom rules takes real effort.

Sourcegraph Cody

Sourcegraph Cody is an enterprise coding assistant whose superpower is context: it uses Sourcegraph's code graph to pull relevant functions, types, and docs from across millions of lines, including large monorepos that choke other tools.

Best for: big enterprises with massive codebases where understanding the whole graph is the hard part. If you're at the scale where a monorepo has thousands of contributors, Cody handles that context better than most.

Pricing: as of mid-2025 Sourcegraph retired the free and Pro tiers, so Cody is Enterprise-only at $59 per user per month on an annual contract.

The standout is code-graph context at scale.

Where it falls short: PR review is secondary to its main job as a coding assistant, so it's less purpose-built for systematic review than CodeRabbit or Greptile. And at $59 a seat with no entry tier, it's the most expensive option here and overkill for any team that isn't operating at true enterprise scale.