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Scopy runs AI-assisted code review where your team already works: on GitHub pull requests.

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What Scopy AI looks for

Scopy is designed to find concrete issues in changed code. The review engine builds context from the pull request diff, affected symbols, repository files, search results and optional semantic code search before publishing findings. When a change uses a library Scopy recognizes, the review can also check its official documentation and cite it in findings. See Documentation references. The strongest findings are specific and actionable:
  • They point to the affected file and line.
  • They explain the failure mode or risk.
  • They focus on behavior introduced or changed by the pull request.
  • They avoid broad style commentary unless it affects correctness, security or maintainability.

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When reviews run

Reviews run automatically for enabled repositories when relevant pull request activity arrives from GitHub, such as a new pull request or a pull request being marked ready for review. You can also request a fresh review from GitHub by mentioning the GitHub App in a pull request comment.

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Workspace model

A workspace represents a connected GitHub account or organization. Repository access, team access, billing, analytics, and review history are scoped to the selected workspace.