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Add code review feature and update usage examples in README.md #65

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merged 4 commits into from
Sep 8, 2024

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@catatsuy catatsuy commented Sep 8, 2024

This pull request includes updates to the README.md file to document the new -review feature in the bento CLI tool. The changes highlight the addition of the -review command and provide usage instructions.

Documentation Updates:

  • New Command Documentation:

    • Added -review to the list of easy-to-use commands and described its usage in both single and multi modes. (README.md)
    • Introduced the code review feature, explaining how to specify the language for the review using the -language option. (README.md)
  • Usage Instructions:

    • Updated the example command to review code using the -review option. (README.md)
    • Added an example GitHub Actions workflow configuration for automating code reviews on pull requests. (README.md)

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github-actions bot commented Sep 8, 2024

Automatic Review

Completeness

The README has been updated to mention the new -review command, which is a good addition. However, the description does not provide enough detail on how the code review process works or what kind of feedback users can expect. It lacks clear guidelines on the functionality of the -review command and any potential limitations.

To improve completeness, consider adding an example or a brief explanation of the expected output from the review process. This clarifies the command's purpose and helps users understand its utility.

- **Code Review**: Use the code review feature to get feedback on your code. You can specify the language for the review using the `-language` option. This feature analyzes your code and provides feedback on various aspects such as style, bugs, and security. 
- For example, after highlighting a code snippet, you might see suggested improvements or warnings about potential vulnerabilities.

Documentation

While the changes include a section on important security considerations, the documentation lacks details on how to ensure the API key is used securely within the bento tool itself. Specifically, it should mention how users should access the stored key in their code.

Consider adding a brief note or example about how to reference the environment variable in their code, which can help prevent errors.

- **API Key Usage**: Make sure to reference the `OPENAI_API_KEY` in your application securely, for example:

```python
import os
api_key = os.getenv('OPENAI_API_KEY')

Error Handling

The new additions lack discussion of error handling, particularly in the context of API usage. Users may encounter errors when interacting with the OpenAI API, but there’s no mention of how to handle these gracefully or what to do in such cases.

Include a section in the documentation that talks about common error scenarios and how to handle them, which would provide practical guidance to users.

```markdown
- **Error Handling**: If you encounter errors when using the `bento` tool, check the following:
  - Ensure your API key is set correctly and is valid.
  - Handle rate limiting by implementing retries with exponential backoff.
  - Report any unexpected behavior or errors via the issue tracker on GitHub for assistance.

By addressing these areas, the documentation can provide a more robust and user-friendly experience, enhancing the overall usability of the bento tool.

@catatsuy catatsuy merged commit f3eefb1 into main Sep 8, 2024
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@catatsuy catatsuy deleted the feature-add-code-review-feature branch September 8, 2024 06:40
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