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Desktop code reviews with local or cloud AI, GitHub integration

Free, no paid tierVisit Website
Tracked since2026

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • Comment on any line with auto-saving comments that stay on your machine until you publish.
  • Bring your own AI model (leading providers, local models) or skip AI entirely.
  • Reviews are pinned to the merge base commit, so the diff doesn't change when new pushes arrive.

Pros

  • Comments stay on your machine, ensuring privacy and control
  • Flexible AI integration: use any provider or no AI at all
  • Free and open source with no paid tiers

Cons

  • Installers are not signed, requiring manual approval on macOS and Windows
  • Only supports GitHub pull requests, not other Git hosting platforms
  • Requires Git to be installed on the system

What is Review?

Editorial review
Review is a local desktop application for conducting code reviews directly on your machine. It integrates with GitHub pull requests, allowing you to comment on any line with auto-saving comments that stay on your computer until you choose to publish. The tool supports bringing your own AI model from providers like OpenAI, Anthropic, and Google Gemini, or using local models via Ollama or LM Studio. Reviewers can also pull extra context from MCP servers, or skip AI entirely for a manual review workflow. Reviews are pinned to exact merge base commits, ensuring the diff remains stable even when new pushes occur. Comments are only posted to GitHub when you explicitly publish, giving you full control over the review process. The application is free, open source, and available for macOS, Windows, and Linux.

Key Features

  • Comment on any line by clicking the line number
  • Comments auto-save as you type and remain on your computer
  • Support for multiple AI providers: OpenAI, Anthropic, Google Gemini, OpenRouter, Ollama, LM Studio
  • Integration with MCP servers for extra context during review
  • Quick navigation via ⌘P to jump to pull requests, recent reviews, and branches
  • Reviews pinned to exact merge base commits for stable diffs
  • Manual publishing of comments to GitHub pending review
  • Cross-platform support: macOS (Apple Silicon and Intel), Windows 10/11, Linux x64

Pricing Plans

Pricing checked Oct 7, 2026

Review plans and prices, checked October 2026
PlanPriceDetails
Free

Free

  • Comment on any line
  • Bring your own model (OpenAI, Anthropic, Gemini, OpenRouter, or local via Ollama/LM Studio)
  • Reviewers can pull extra context from MCP servers
+5 more
  • Skip AI entirely
  • Press ⌘P to go anywhere
  • Pinned to exact commits
  • Nothing posts by itself
  • Choose when to submit

Is Review worth the price?

Great value

The pricing is exceptionally generous, as the entire product is free with no paid tiers or usage limits.

This is far more accessible than most code review tools, which typically charge per user or per repository. Best for developers who want full control over their AI models and data privacy without any financial commitment.

Full Review pricing: every plan, hidden costs and alternatives

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Review FAQ

How does Review help with privacy-sensitive code reviews?

Review keeps all comments on your machine until you choose to publish them, ensuring no data leaves your computer prematurely. You can also skip AI entirely for a fully manual review workflow, giving you complete control over what is shared.

How does Review differ from GitHub Copilot?

Unlike GitHub Copilot, which is an AI coding assistant integrated into the editor, Review is a dedicated local desktop application for code reviews. It lets you bring your own AI model from providers like OpenAI or run local models via Ollama, and comments stay on your machine until you publish them to GitHub.

Which Git hosting platforms does Review support?

Review only supports GitHub pull requests, not other Git hosting platforms like GitLab or Bitbucket. It also requires Git to be installed on your system to function.

What kind of user benefits most from Review's local-first approach?

Teams that prioritize privacy and control over their code review process benefit most, as comments remain on your machine until you explicitly publish them. Developers who want flexibility in AI model choice or prefer a manual review workflow also find it well-suited.

How is Review priced?

Review is free and open source with no paid tiers required. There are no subscription fees or hidden costs, and it is available for macOS, Windows, and Linux.

Can Review use AI models running on my own machine?

Yes, Review supports local AI models via Ollama and LM Studio, allowing you to run AI assistance entirely on your own hardware. You can also connect to cloud providers like OpenAI, Anthropic, or Google Gemini.

Does Review integrate with MCP servers for extra context?

Yes, Review can pull extra context from MCP servers during a review. This allows reviewers to access additional information beyond the code diff.

When does Review post comments to GitHub?

Review only posts comments to GitHub when you explicitly choose to publish them. This gives you full control over the review process and prevents accidental or premature sharing.

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