Experience Report: Gemini Integration in Cursor with Long Context Support and File Processing Capabilities
Project Information
Tags
AI Models Mentioned
Summary
A user shares their positive experience using Gemini in the Cursor editor, highlighting its 2M token long context capabilities and ability to process various file types including MP3s. The AI successfully managed multiple file updates including changelogs and markdown files, demonstrating strong context retention and file manipulation abilities.
Prompt
Analyze multiple project files including changelogs, TODO lists, and documentation files. Suggest coordinated updates while maintaining consistency across all files. Additionally, review any audio files present and provide recommendations for their optimal usage in the project context.
Best Practices
Leverage Long Context for Multi-file Operations
Utilize Gemini's long context window for handling multiple files simultaneously
Maintain Structured Documentation
Keep organized documentation in markdown files for important information and tasks
Common Mistakes to Avoid
Avoid Relying on Agent Functionality
Don't depend on Gemini's agent functionality as it's currently not working
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