Architecture Refactor: Completely restructured the project architecture to improve scalability, maintainability, and development efficiency.

Separation of Concerns: The codebase has been reorganized into dedicated modules:
– Screens – UI presentation and page layouts
– Data – Mock data, repositories, and data sources
– Models – Centralized application models
– Widgets – Reusable UI components
– Dialogs – Standalone dialog and modal components

This architecture is now consistently applied across:
– Apps
– Dashboards
– Pages

AI Coding Agent Friendly: Introduced a new project structure designed to work better with modern AI coding assistants and automated development workflows.

Added:
– Dedicated README.md files for feature modules
– Organized folder structure for faster AI code understanding
– Clear separation between screens, models, widgets, dialogs, and data layers
– Improved code discoverability for AI-assisted development
– New AI Reference Module

Added a dedicated AI Reference structure containing:

ai_reference/
├── dialogs/
├── widgets/
├── ai_reference_data.dart
├── ai_reference_models.dart
├── ai_reference_screen.dart
└── README.md

This module serves as a reference implementation that helps developers and AI coding tools understand recommended project architecture and coding patterns.

AI Documentation: Added dedicated AI-focused documentation:

docs/
├── ai_prompt_template.md
├── ai_screen_checklist.md
└── ai_ui_rules.md

These documents provide:
– Prompt templates for AI coding assistants
– Screen development guidelines
– UI consistency rules
– Best practices for generating new pages and components
– Faster onboarding for developers using AI-assisted workflows

New App Screens & Dialogs: Expanded the Apps module with additional screens and dialog components.

Added:
– New application screens
– New dialogs
– Improved navigation flow
– Better user experience across applications
– More complete app workflow examples

Improvements:
– Improved project organization
– Better code maintainability
– Reduced code duplication
– Enhanced component reusability
– Consistent architecture across the entire project
– Faster development workflow for both developers and AI coding agents

Developer Experience
– Easier customization
– Faster code navigation
– Better onboarding experience
– Improved scalability for large projects
– More predictable and maintainable code structure