Suggest changes based on PR comment

Feature Request: AI-Powered PR Comment Resolution

Summary

Add the ability to automatically generate code suggestions based on Pull Request comments, enabling faster code review iterations and easier comment resolution.

Problem Statement

Currently, when receiving PR comments, developers need to:

  • Manually read each comment
  • Context switch to understand the relevant code
  • Copy-paste comments if they want AI assistance
  • Implement changes based on the feedback
    This process is time-consuming and breaks the natural flow of code review.

Proposed Solution

Integrate PR comment handling directly into Cursor with two main workflows:

1. Proactive Suggestions

  • Automatically scan PR comments when they’re posted
  • Generate AI-powered code suggestions for each comment
  • Present suggestions in a review queue within Cursor
  • Allow developers to accept/reject/modify suggestions before committing

2. On-Demand Resolution

  • Add a “Generate Suggestion” button next to each PR comment
  • When clicked, Cursor analyzes the comment and relevant code context
  • Presents an immediate code suggestion that can be applied with one click

Technical Considerations

  • Integration with major Git platforms (GitHub, GitLab, Bitbucket)
  • Context awareness to understand the full scope of changes
  • Ability to batch similar comments
  • Version control safety measures

Benefits

  • Faster PR resolution times
  • More consistent code fixes
  • Reduced context switching
  • Better learning opportunities for developers
  • Streamlined code review process

Success Metrics

  • Reduction in time to resolve PR comments
  • Increase in suggestion acceptance rate
  • Developer satisfaction scores
  • PR resolution completion rates