- 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.
- Replaced SliderRow components with ParameterSlider in color-adjust, curves, detail-adjust, and light-adjust nodes for improved user interaction.
- Updated minimum width and height configurations for adjustment nodes to accommodate new slider designs.
- Enhanced node templates and default dimensions to reflect the changes in adjustment node sizes.
- Improved state management and data handling for slider values in adjustment nodes.
- Updated sign-in and sign-up pages to allow users to log in with either email or username.
- Added social login options for Google and Apple, currently implemented as placeholders.
- Improved error handling with localized messages for authentication failures.
- Refactored input fields and validation logic to enhance user experience and accessibility.
- Introduced new functions for validating canvas connections, ensuring proper source and target node types.
- Updated edge and node mutation logic to enforce connection policies and improve error handling.
- Enhanced image resolution handling by integrating a new image source resolution function for better URL retrieval.
- Refactored existing validation logic to streamline connection checks and improve maintainability.
- Added a fallback mechanism for resolving storage URLs in `canvas-helpers.ts`, improving reliability when URLs are not directly available.
- Introduced new utility functions in `canvas.tsx` for summarizing update and resize payloads, enhancing debugging capabilities during canvas operations.
- Updated `compare-node.tsx` to improve state management and rendering logic, allowing for better handling of incoming edges and display modes.
- Refactored `render-node.tsx` to streamline the rendering process and include detailed logging for debugging render operations.
- Updated `.gitignore` to exclude `.kilo` files, ensuring cleaner repository management.
- Added support for new canvas node types: curves, color-adjust, light-adjust, detail-adjust, and render.
- Implemented validation for adjustment nodes to restrict incoming edges to one.
- Updated canvas connection validation to improve user feedback on invalid connections.
- Enhanced node creation and rendering logic to accommodate new node types and their properties.
- Refactored related components and utilities for better maintainability and performance.
- Introduced `adjustmentPresetNodeTypeValidator` for validating new adjustment preset node types.
- Added new constants for render output resolutions and formats, including custom dimension constraints.
- Implemented normalization functions for render data, ensuring proper validation and error handling.
- Updated node creation and update mutations to utilize normalized data for improved consistency.
- Added error name tracking in NodeErrorBoundary for better debugging.
- Introduced aspect ratio normalization in PromptNode to ensure valid values are used.
- Updated debounced state management in CanvasInner for improved performance.
- Enhanced SelectContent component to support optional portal rendering.
- Integrated `next-intl` for toast messages and locale handling in various components, including `Providers`, `CanvasUserMenu`, and `CreditOverview`.
- Replaced hardcoded strings with translation keys to enhance localization capabilities.
- Updated `RootLayout` to dynamically set the language attribute based on the user's locale.
- Ensured consistent user feedback through localized toast messages in actions such as sign-out, canvas operations, and billing notifications.
- 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.
- Added new image editing node types including curves, color adjustment, light adjustment, detail adjustment, and render, expanding the functionality of the canvas.
- Updated the canvas command palette and sidebar to categorize and display new image editing nodes, improving user navigation and accessibility.
- Implemented collapsible categories in the sidebar for better organization of node types, enhancing the overall user experience.
- Refactored canvas components to support the new image editing features, ensuring seamless integration with existing functionalities.
- Introduced local persistence for canvas state, enabling snapshot reading and writing for improved user experience during interactions.
- Added new functions for handling node movement, resizing, and edge creation/removal with optimistic updates, ensuring immediate feedback in the UI.
- Refactored existing logic to streamline node and edge operations, enhancing overall responsiveness and synchronization with the server.
- Added functionality to block node deletion based on synchronization status with Convex, providing user feedback through toast notifications.
- Introduced helper functions to determine reasons for blocking deletions, enhancing user experience during canvas interactions.
- Updated asset node styling to improve visual consistency and adjusted minimum dimensions for asset nodes to ensure better layout management.
- Updated CanvasSidebar to accept canvasId as a prop, enabling dynamic content based on the current canvas.
- Refactored CanvasToolbar to implement a dropdown menu for adding nodes, improving usability and organization.
- Introduced new node types and updated existing ones in the node template picker for better categorization and searchability.
- Enhanced AssetNode to utilize context for asset browser interactions, streamlining asset management on the canvas.
- Improved overall layout and styling for better user experience across canvas components.
- Implemented visual feedback and cursor changes for scissors mode in dark and light themes, improving user interaction during edge manipulation.
- Updated node template picker to include new keywords for AI image generation, enhancing searchability.
- Renamed and categorized node types for clarity, including updates to asset and prompt nodes.
- Added support for video nodes and adjusted related components for improved media handling on the canvas.
- Added a custom connection line component with animation for improved visual feedback during node interactions.
- Implemented CSS animations for temporary connection lines, enhancing the user experience in the canvas.
- Refactored edge creation and removal logic to support optimistic updates, improving performance during node manipulations.
- Introduced a utility function to compute edge reconnections after node deletions, streamlining edge management.
- Added error classification for daily generation cap and concurrency limits in the PromptNode component, improving user feedback during AI image generation failures.
- Enhanced toast notifications to provide specific messages for daily limit and concurrent job errors.
- Introduced internal mutations in the credits module to check abuse limits and track usage, ensuring better resource management and user experience.
- Updated AI error handling logic to categorize and respond to different error types effectively.
- Added custom CSS variables for edge stroke and connection line styles in light and dark modes to improve visual consistency.
- Updated edge rendering logic to utilize new styles, enhancing the appearance of temporary edges during interactions.
- Introduced a new utility function for applying glow effects based on source node types, improving the visual feedback of connections.
- Refactored edge mapping to support glow effects, enhancing user experience during node interactions.
- Introduced the cmdk package for improved command palette capabilities.
- Enhanced the canvas placement context to support creating nodes with edge splitting, allowing for more dynamic node interactions.
- Updated the canvas inner component to utilize optimistic updates for node creation, improving user experience during interactions.
- Refactored node handling logic to incorporate new mutation types and streamline data management.
- Added client mount state to the dashboard to prevent premature interactions before the component is fully loaded.
- Updated button disabling logic to ensure it reflects the component's readiness and user session state.
- Introduced zIndex handling in canvas placement context for better node layering.
- Enhanced asset and image nodes with improved resizing logic to maintain aspect ratios during adjustments.
- Refactored node components to streamline rendering and improve performance during dynamic updates.
- Introduced a new "asset" node type in the canvas sidebar for better resource management.
- Updated image node components to support dynamic image dimensions and improved resizing logic.
- Enhanced prompt and AI image nodes to utilize reference images from asset nodes, improving integration and functionality.
- Refactored canvas utilities to accommodate new asset configurations and maintain consistent media handling.
- Added Sentry integration for error tracking across various components, including error boundaries and user actions.
- Updated global error handling to capture exceptions and provide detailed feedback to users.
- Enhanced user notifications with toast messages for actions such as credit management, image generation, and canvas exports.
- Improved user experience by displaying relevant messages during interactions, ensuring better visibility of system states and errors.
- Integrated retry logic for AI image generation to handle transient errors and improve user experience.
- Updated error categorization to provide more informative feedback based on different failure scenarios.
- Enhanced node components to display retry attempts and error messages, improving visibility during image generation failures.
- Refactored canvas and node components to include retry count in status updates, ensuring accurate tracking of generation attempts.
- Introduced a new "max" subscription tier with associated monthly credits and top-up limits.
- Updated existing subscription tiers' monthly credits and top-up limits for "starter", "pro", and "business".
- Enhanced credit display and overview components to reflect the new tier and its attributes.
- Integrated Polar authentication features for improved subscription management and credit handling.
- Added padding to the "Rückerstattet" badge for improved visual appearance.
- Updated time formatting in the formatRelativeTime function to use German language strings for better localization.
