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The best code review tools to try in 2026

Last updated
Apr 9, 2026
Based on
802 reviews
Products considered
129

Tools that host code, automate reviews, and run CI/CD live here. They manage pull requests, test and deploy changes, and help teams ship reliable software faster.

GitHubGraphiteVal TownCodeRabbitcubicContinue
Tempo - Align Work to Strategy
Tempo - Align Work to Strategy Turn Jira Data Into Strategic Clarity

Top reviewed code review tools

Top reviewed
Among the most-reviewed options, GitHub remains the broadest choice for teams that want code hosting, pull-request workflows, CI/CD, and security in one place. Specialized tools then split by need: Graphite targets faster review cycles with stacked PRs and merge orchestration, while CodeRabbit emphasizes AI-driven review, actionable fixes, and customizable quality checks inside existing Git workflows.
Summarized with AI

Frequently asked questions about Code Review Tools

Real answers from real users, pulled straight from launch discussions, forums, and reviews.

  • Graphite offers a VS Code extension (plus a CLI) for local stacking, while its Reviewer runs in the cloud and attaches comments to PRs. That means you can get IDE-side workflows and repo-level automation.

    Typical integration patterns from these tools:

    • IDE plugin/extension (e.g., VS Code) for local review flows and quick feedback.
    • Repo/PR integrations (GitHub, Bitbucket, GitLab) so reviews run regardless of which editor teammates use — Cursor, Vim, Xcode, etc.

    If you want both local convenience and consistent PR enforcement, look for tools that provide an extension + repo integration.

  • Graphite Reviewer can handle large monorepos and very big PRs by pre-indexing your repo and using fast RAG-based lookups. The team reports LLM feedback returns in seconds and they don’t see noticeable slowdowns for the p95 of changes. Key takeaways:

    • Indexing: the repo is indexed asynchronously with no manual setup, so reviews use repo context automatically.
    • Performance: chained LLM queries and large-context prompts are used to keep reviews fast even on big PRs.
    • Workflow help: tools like Cubic add file grouping/ordering (backend → API → UI) to reduce jumpiness on huge PRs.

    These approaches improve speed and focus when reviewing massive changes.