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#7 Removed Open Api Link#9

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35 changes: 31 additions & 4 deletionsREADME.md
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Expand Up@@ -32,10 +32,6 @@ This curated list covers the best resources, tutorials, and community content re
- [CodeRabbit Startup Program](https://www.coderabbit.ai/blog/coderabbit-startup-program) - Special program for startups.
- [AI Code Reviewer Examples](https://www.coderabbit.ai/blog/how-to-use-an-ai-code-reviewer-on-github-in-4-examples) - Four practical examples of using CodeRabbit.

## API Reference

- [OpenAPI Documentation](https://api.coderabbit.ai/api/swagger/) - Complete Swagger documentation for CodeRabbit's REST API endpoints.

## Configuration Examples

### Enterprise Configuration Example
Expand DownExpand Up@@ -138,3 +134,34 @@ configs/
- [Plane](https://github.com/makeplane/plane) - Open-source project management tool [Example Review](https://github.com/makeplane/plane/pull/5933).
- [Unkey](https://github.com/unkeyed/unkey) - API key management solution [Example Review](https://github.com/unkeyed/unkey/pull/2639).
- [UploadThing](https://github.com/pingdotgg/uploadthing) - File upload solution for modern web [Example Review](https://github.com/pingdotgg/uploadthing/pull/1038).

## Best Practices

When using **CodeRabbit** for AI-powered code reviews, following a few best practices helps maximize accuracy, maintain consistency, and ensure high-quality feedback:

1. **Provide Context in Pull Requests**
Include clear PR titles and descriptions. Mention the purpose, scope, and any edge cases to help CodeRabbit generate relevant feedback.

2. **Refine Configuration Regularly**
- Use the `tone_instructions` and `path_instructions` fields to tailor reviews by code area.
- Update your YAML configuration as your codebase evolves.
- Keep `reviews.profile` consistent across repositories to maintain tone alignment.

3. **Leverage Auto Reviews Wisely**
Enable `auto_review` for major branches (`main`, `release`, etc.) only. Disable for WIP or experimental branches to reduce noise.

4. **Combine AI + Human Insight**
Use CodeRabbit’s feedback as a *first pass*. Developers should still review key logic and architecture changes manually.

5. **Optimize for Performance & Security**
Configure path-level rules to ensure sensitive files (e.g., `.env`, secrets) are excluded from reviews or uploads.

6. **Integrate with CI/CD**
Run CodeRabbit checks alongside your CI tests to automatically block merges if issues exceed a defined threshold.

7. **Encourage Team Feedback**
Collect feedback from developers on AI review accuracy and continuously refine configuration files for better alignment.

8. **Document Custom Instructions**
Maintain a central `CODE_REVIEW_GUIDE.md` documenting your preferred CodeRabbit settings, tone, and workflow for new team members.

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