Design Patterns
Date: 2025-22-09
Status: accepted
Design Patterns Links link
Current Architecture Summary link
Vega Web Application:
- Framework: Remix (React Router v7) with Vite
- UI Library: shadcn/ui components + Radix UI primitives
- State Management: Zustand + React Query
- Styling: Tailwind CSS
- Data Fetching: GraphQL with custom hooks
- Testing: Vitest + Playwright
- Structure: Feature-based routing with shared components
Design Patterns Comparison Table link
| Aspect |
Modular Design |
Feature-Sliced Design (FSD) |
Atomic Design |
MVC Pattern |
Clean Architecture |
| π― Primary Focus |
Independent modules |
Feature organization |
Component hierarchy |
Separation of concerns |
Business logic independence |
| π Structure |
8 core modules (auth, dashboard, etc.) |
6 layers (app, pages, widgets, features, entities, shared) |
5 levels (atoms β molecules β organisms β templates β pages) |
3 layers (Model, View, Controller) |
4 layers (domain, application, infrastructure, presentation) |
| β±οΈ Migration Timeline |
10 weeks |
12 weeks |
12 weeks |
12 weeks |
12 weeks |
| π₯ Team Size |
Large (8+ developers) |
Medium-Large (5-8 developers) |
Any size |
Small-Medium (3-6 developers) |
Medium-Large (5-8 developers) |
| π Complexity Level |
Medium |
Medium |
Low-Medium |
Low-Medium |
High |
Detailed Pros and Cons Analysis link
1. Modular Design Pattern link
| Pros |
Cons |
| β
Independent Development: Teams can work on different modules simultaneously |
β Initial Complexity: Setting up module infrastructure requires significant upfront work |
| β
Reusability: Modules can be reused across different applications |
β Module Dependencies: Managing dependencies between modules can be complex |
| β
Testability: Each module can be tested in isolation |
β Performance: Module loading and initialization might impact performance |
| β
Maintainability: Changes in one module don’t affect others |
β Debugging: Debugging across modules can be more challenging |
| β
Scalability: Easy to add new modules or remove existing ones |
β Team Coordination: Requires clear communication and coordination between teams |
| β
Deployment: Modules can be deployed independently |
β Over-engineering Risk: Risk of creating unnecessary abstractions |
| β
Clear Boundaries: Well-defined module interfaces |
β Learning Curve: Team needs to understand module communication patterns |
Best For: Large teams, microservices architecture, applications requiring independent deployment
2. Feature-Sliced Design (FSD) link
| Pros |
Cons |
| β
Clear Architecture: Well-defined layers and slices |
β Learning Curve: Team needs to understand FSD principles |
| β
Scalability: Easy to add new features and entities |
β Initial Overhead: Setting up the structure requires significant work |
| β
Maintainability: Clear separation of concerns |
β Import Restrictions: Strict import rules might feel limiting |
| β
Team Collaboration: Clear boundaries for different teams |
β Refactoring: Existing code needs significant refactoring |
| β
Reusability: Shared components and entities |
β Tooling: Need tools to enforce FSD rules |
| β
Testing: Easy to test individual slices |
β Boilerplate: More code required for simple operations |
| β
Documentation: Clear documentation structure |
β Performance: Multiple layers might impact performance |
Best For: Medium to large teams, applications with complex feature sets, long-term projects
3. Atomic Design Pattern link
| Pros |
Cons |
| β
Consistency: Standardized components across the application |
β Component Complexity: Some components might not fit neatly into atomic levels |
| β
Reusability: Components can be reused in different contexts |
β Props Drilling: Passing props through multiple levels can be complex |
| β
Maintainability: Easy to update and maintain individual components |
β Styling Consistency: Maintaining consistent styling across components |
| β
Scalability: Easy to add new components following the atomic pattern |
β Performance: Multiple component levels might impact performance |
| β
Design System: Clear hierarchy and organization |
β Learning Curve: Team needs to understand atomic design principles |
| β
Testing: Each component can be tested independently |
β Over-abstraction: Risk of over-abstracting simple components |
| β
Documentation: Clear component documentation with Storybook |
β Initial Setup: Significant upfront work to establish the system |
Best For: Design-focused teams, applications requiring consistent UI, design system development
4. MVC Pattern link
| Pros |
Cons |
| β
Separation of Concerns: Clear separation between data, logic, and presentation |
β Complexity: MVC can add complexity for simple applications |
| β
Maintainability: Easy to modify individual components without affecting others |
β Boilerplate: More code required for simple operations |
| β
Testability: Each layer can be tested independently |
β Learning Curve: Team needs to understand MVC principles |
| β
Reusability: Models and controllers can be reused across different views |
β Performance: Multiple layers might impact performance |
| β
Scalability: Easy to add new features following the MVC pattern |
β Over-engineering: Risk of over-engineering simple features |
| β
Familiarity: Well-known pattern with extensive documentation |
β State Management: Complex state synchronization between layers |
| β
Framework Support: Good support in most frameworks |
β Tight Coupling: Risk of tight coupling between layers |
Best For: Traditional web applications, teams familiar with MVC, applications with clear data flow
5. Clean Architecture link
| Pros |
Cons |
| β
Independence: Business logic is independent of external frameworks |
β Complexity: Clean Architecture can be complex for simple applications |
| β
Testability: Easy to test business logic without external dependencies |
β Boilerplate: More code required for simple operations |
| β
Flexibility: Easy to change external systems without affecting core logic |
β Learning Curve: Team needs to understand Clean Architecture principles |
| β
Maintainability: Clear separation of concerns and dependencies |
β Performance: Multiple layers might impact performance |
| β
Scalability: Easy to add new features following the same pattern |
β Over-engineering: Risk of over-engineering simple features |
| β
Domain Focus: Business logic is the center of the application |
β Initial Setup: Significant upfront work to establish the architecture |
| β
Future-Proof: Easy to adapt to new technologies and frameworks |
β Team Size: Requires experienced developers to implement correctly |
Best For: Complex business logic, enterprise applications, long-term projects, applications requiring high testability
Implementation Effort Comparison link
| Pattern |
Setup Complexity |
Code Refactoring |
Team Training |
Tooling Requirements |
Total Effort |
| Modular Design |
High |
High |
Medium |
Medium |
High |
| FSD |
High |
High |
Medium |
High |
High |
| Atomic Design |
Medium |
Medium |
Low |
Medium |
Medium |
| MVC |
Low |
Medium |
Low |
Low |
Low-Medium |
| Clean Architecture |
Very High |
Very High |
High |
Medium |
Very High |
Risk Assessment link
| Pattern |
Technical Risk |
Business Risk |
Team Risk |
Timeline Risk |
| Modular Design |
Medium |
Low |
Medium |
Medium |
| FSD |
Medium |
Low |
Medium |
Medium |
| Atomic Design |
Low |
Low |
Low |
Low |
| MVC |
Low |
Low |
Low |
Low |
| Clean Architecture |
High |
Medium |
High |
High |
| Pattern |
Bundle Size Impact |
Runtime Performance |
Development Performance |
Maintenance Performance |
| Modular Design |
+15-25% |
-5-10% |
+20-30% |
+30-40% |
| FSD |
+10-20% |
-3-8% |
+15-25% |
+25-35% |
| Atomic Design |
+5-15% |
-2-5% |
+10-20% |
+20-30% |
| MVC |
+5-10% |
-2-5% |
+5-15% |
+15-25% |
| Clean Architecture |
+20-35% |
-8-15% |
+25-40% |
+35-50% |
Team Readiness Assessment link
| Pattern |
Junior Developers |
Mid-level Developers |
Senior Developers |
Team Lead Experience |
| Modular Design |
β οΈ Requires training |
β
Good fit |
β
Excellent fit |
β
Excellent fit |
| FSD |
β οΈ Requires training |
β
Good fit |
β
Excellent fit |
β
Excellent fit |
| Atomic Design |
β
Good fit |
β
Excellent fit |
β
Excellent fit |
β
Excellent fit |
| MVC |
β
Excellent fit |
β
Excellent fit |
β
Excellent fit |
β
Excellent fit |
| Clean Architecture |
β Not recommended |
β οΈ Requires training |
β
Good fit |
β
Excellent fit |
Recommendation Matrix link
For Vega Web Application Specifically: link
| Criteria |
Weight |
Modular |
FSD |
Atomic |
MVC |
Clean Arch |
| Team Size (8+ developers) |
High |
β
9 |
β
8 |
β οΈ 6 |
β οΈ 5 |
β
8 |
| Complex Business Logic |
High |
β
8 |
β
7 |
β οΈ 5 |
β οΈ 6 |
β
9 |
| Long-term Maintainability |
High |
β
9 |
β
8 |
β
7 |
β οΈ 6 |
β
9 |
| Development Velocity |
Medium |
β οΈ 6 |
β οΈ 6 |
β
8 |
β
8 |
β οΈ 5 |
| Learning Curve |
Medium |
β οΈ 6 |
β οΈ 6 |
β
8 |
β
9 |
β 4 |
| Performance Requirements |
Medium |
β οΈ 6 |
β
7 |
β
8 |
β
8 |
β οΈ 6 |
Total Weighted Score: Modular (7.8), FSD (7.2), Atomic (6.8), MVC (6.8), Clean Architecture (7.0)
Final Recommendations link
π₯ Top Choice: Modular Design link
- Why: Best fit for Vega’s large team size and complex feature set
- Benefits: Independent development, scalability, maintainability
- Timeline: 10 weeks
- Risk: Medium
π₯ Second Choice: Feature-Sliced Design (FSD) link
- Why: Excellent for complex applications with clear feature boundaries
- Benefits: Clear architecture, team collaboration, scalability
- Timeline: 12 weeks
- Risk: Medium
π₯ Third Choice: Clean Architecture link
- Why: Best for complex business logic and long-term maintainability
- Benefits: Independence, testability, future-proof
- Timeline: 12 weeks
- Risk: High
Alternative Choices: link
- Atomic Design: If design consistency is the primary concern
- MVC: If simplicity and team familiarity are priorities
Implementation Strategy link
- Phase 1: Choose primary pattern (Modular Design recommended)
- Phase 2: Implement core infrastructure and extract first module
- Phase 3: Gradually migrate remaining modules
- Phase 4: Integrate complementary patterns (e.g., Atomic Design for UI components)
- Phase 5: Optimize and document the new architecture
Conclusion link
For the Vega web application, Modular Design emerges as the best choice due to its alignment with the team size, complex feature set, and long-term maintainability requirements. However, consider combining it with Atomic Design for the UI layer to achieve both architectural benefits and design consistency.