- Expanded the AI pipeline to support video generation, including the addition of `video-prompt` and `ai-video` node types.
- Updated connection policies to validate interactions between new video nodes and existing node types.
- Enhanced logging and error handling for video generation processes, including detailed polling strategies and response formats.
- Updated documentation to reflect new node types, their functionalities, and integration details within the canvas and backend systems.
- Ensured synchronization between client-side and backend model definitions for both image and video generation.
- Updated version from v1.5 to v2.0 in both the LemonSpace Manifest and PRD documents.
- Expanded Phase 1 scope to include video and asset nodes, and integrated non-destructive image editing capabilities.
- Enhanced node taxonomy to reflect 6 categories with 27 node types.
- Added details on offline sync features and optimistic updates in the documentation.
- Improved clarity and structure of the product vision and problem statement sections.
- Introduced a new `CanvasPresetsProvider` to manage adjustment presets for nodes, enhancing state management and reducing reactivity.
- Updated storage URL resolution to utilize a mutation instead of a reactive query, improving performance and reducing unnecessary re-renders.
- Refactored adjustment nodes (color-adjust, curves, detail-adjust, light-adjust) to use the new preset context for fetching user presets.
- Improved overall canvas functionality by streamlining storage ID collection and URL resolution processes.
- Implemented delete action for canvas cards, including a confirmation dialog.
- Updated `canvas-card.tsx` to support renaming and deleting canvases.
- Enhanced documentation in `CLAUDE.md` to reflect new features and mutations.
- Added success and error toast messages for delete actions.
- Introduced a new section detailing the Single Source of Truth for various components, linking to their respective CLAUDE.md files.
- Enhanced clarity on documentation organization across different areas of the project.
