# Progress: PyNamer - Image Resizing Implementation

**Completed:**
1. Added Pillow dependency to `requirements.txt`.
2. Updated `pynamer.py` with image resizing functionality:
    - Renamed `_encode_image` to `_resize_and_encode_image`.
    - Implemented image resizing logic using Pillow.
    - Added proper error handling for image processing.
    - Updated `generate_filename` to use the new method and set correct mime type.
3. Updated `config.yaml` with new image resizing configuration options:
    - `resize_max_dimension`
    - `resize_format`
4. Created comprehensive memory bank documentation:
    - `projectbrief.md`
    - `productContext.md`
    - `systemPatterns.md`
    - `techContext.md`
    - `activeContext.md`

**Remaining:**
1. Create `.clinerules` file.
2. Final testing and verification.

**Issues/Notes:**
- The implementation maintains backward compatibility with existing configurations.
- The default resize format is set to JPEG for better compression, but this may need adjustment for images with transparency.
- The LANCZOS resampling filter provides good quality for downscaling.
- Error handling has been improved to provide better feedback when image processing fails.