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Configure Sweep #1

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@sweep-ai sweep-ai bot commented Nov 5, 2023

🎉 Thank you for installing Sweep! We're thrilled to announce the latest update for Sweep, your AI junior developer on GitHub. This PR creates a sweep.yaml config file, allowing you to personalize Sweep's performance according to your project requirements.

What's new?

  • Sweep is now configurable.
  • To configure Sweep, simply edit the sweep.yaml file in the root of your repository.
  • If you need help, check out the Sweep Default Config or Join Our Discord for help.

If you would like me to stop creating this PR, go to issues and say "Sweep: create an empty sweep.yaml file".
Thank you for using Sweep! 🧹

@sweep-ai sweep-ai bot added the sweep label Nov 5, 2023
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coderabbitai bot commented Nov 5, 2023

Important

Auto Review Skipped

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To trigger a single review, invoke the @coderabbitai review command.


Tips

Chat with CodeRabbit Bot (@coderabbitai)

  • If you reply to a review comment from CodeRabbit, the bot will automatically respond.
  • To engage with CodeRabbit bot directly around the specific lines of code in the PR, mention @coderabbitai in your review comment
  • Note: Review comments are made on code diffs or files, not on the PR overview.
  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

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Note: For conversation with the bot, please use the review comments on code diffs or files.

CodeRabbit Configration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • The JSON schema for the configuration file is available here.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/coderabbit-overrides.v2.json

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sweep-ai bot commented Nov 5, 2023

Apply Sweep Rules to your PR?

  • Apply: All new business logic should have corresponding unit tests.
  • Apply: Refactor large functions to be more modular.

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