leopoldch/al-pj

AI Summary: Implement client-side caching for albums and photos using React Query or a similar library to reduce redundant data fetching and improve performance. This involves choosing a suitable caching strategy (e.g., in-memory, local storage) and integrating it with the existing React frontend, potentially requiring adjustments to data fetching logic.

AI Summary: Implement functionality to move or copy photos between albums in a React/Django web application. This involves updating the frontend to allow users to select photos and target albums, and modifying the backend to handle the database operations for moving or copying photo records.

AI Summary: Implement image compression for uploaded photos in a React frontend and Django backend application. This involves choosing a suitable compression library (for both client-side and potentially server-side processing), integrating it into the existing upload workflow, and testing the functionality to ensure image quality is acceptable while reducing file sizes.

AI Summary: Refactor the database model to represent the author of a message using a foreign key referencing a user table instead of storing the author's name directly in the message model. This change prevents inconsistencies if a user's name is updated.

AI Summary: Implement a frontend feature in a React application to hide completed items from a bucket list. This involves modifying the existing React component responsible for displaying bucket list items to conditionally render only incomplete items. The change should be integrated seamlessly with the existing application's design and functionality.

AI Summary: Implement responsive design for the React frontend of a personal website, creating reusable components and leveraging Material-UI's theming capabilities to ensure consistent styling across different screen sizes.

AI Summary: Implement real-time updates for bucket list items using WebSockets. The current implementation invalidates queries after adding an item, which is inefficient. The solution requires sending WebSocket messages from the server to clients whenever a new bucket list item is added, and handling these messages on the client-side to update the UI without requiring query invalidation.