Project ARES: A Demonstration in Backend-First Architecture
Proposition
To Prove: A production-ready, multi-tenant athlete management platform can be architected and implemented backend-first by a single developer working part-time, resulting in a system where frontend implementation becomes a mechanical exercise rather than an architectural challenge.
Given Constraints
- Time: Part-time development over 2 months (180 - 360 hours)
- Team size: n = 1 (solo developer)
- Prior codebase: ∅ (empty set)
- Domain expertise: Limited (required acquisition during development)
- Target: Complete backend API capable of supporting multiple frontend implementations
Hypothesis
If the data model and business logic are architecturally sound, then:
- The API surface area will remain stable during frontend development
- Frontend implementation reduces to I/O operations (display, capture, transmit)
- The system can support multiple user personas without backend refactoring
Methodology
Phase 1: Domain Modeling (Week 1)
Approach: Entity-relationship modeling before code
Entities Identified:
E = {Person, Team, Season, Practice, Drill, Recommendation, Attendance, ...}
Relationships Derived:
Person ⊂ {Coach, Player, ParentGuardian, Admin}
Team → Seasons → {Practices, Games}
Practice → Activities ⊂ DrillTemplates
Player → Recommendations → DrillTemplates
ParentGuardian → Players (1:N relationship)
Critical Decision: Multi-tenant hierarchy
Organization → Teams → Players
↓
Coaches
Result: Normalized database schema with 15+ tables, foreign key constraints, and proper indexing.
Phase 2: API Design (Week 2)
Approach: Contract-first development using DTOs
DTO Pattern Applied:
∀ Resource R: {CreateDto, UpdateDto, ResponseDto, ListDto}
where:
CreateDto ⊂ UpdateDto ⊂ ResponseDto
ListDto ⊂ ResponseDto (projection for performance)
RESTful Principles Enforced:
- Resource-based URLs:
/api/{Resource}/{id} - HTTP verbs: {GET, POST, PUT, DELETE, PATCH}
- Status codes: {200, 201, 204, 400, 401, 403, 404, 409}
Result: 100+ endpoint specification before implementation
Phase 3: Implementation (Weeks 3 - 6)
Technology Stack:
- Backend: .NET 10 (Web API)
- ORM: Entity Framework Core
- Database: Azure SQL
- Auth: ASP.NET Identity + JWT
- Hosting: Azure App Service
Implementation Order:
- Core entities (Person, Team)
- Authorization middleware
- CRUD operations per resource
- Complex workflows (approval systems)
- Business logic (recommendations, attendance)
- Reporting endpoints
Code Quality Metrics:
- DTO separation: 100% (all endpoints)
- Authorization coverage: 100% (401/403 where applicable)
- Async operations: 100% (all I/O)
- Repository pattern: Applied consistently
Phase 4: Frontend (Weeks 7 - 8)
Status: 60% complete
Completed:
- Drill library UI ✓
- Practice planner UI ✓
- Authentication UI ✓
Remaining:
- Forms connecting to existing endpoints (mechanical work)
Evidence
Proof Element 1: API Completeness
OpenAPI Specification: 100+ documented endpoints
Resource Coverage:
Resources implemented: 8
├── Admin (user management)
├── Coaches (profile + approval)
├── DrillTemplates (library + rating)
├── ParentGuardian (portal + child management)
├── Players (profile + recommendations)
├── Practices (planning + attendance)
├── Teams (management + seasons)
└── User (registration + auth)
Endpoint Distribution:
- CRUD operations: ~40 endpoints
- Complex queries: ~30 endpoints
- Workflow operations: ~20 endpoints
- Reporting: ~10 endpoints
Proof Element 2: Business Logic Completeness
Workflows Implemented:
- User Approval: Pending → Approved → Active
- Drill Assignment: Recommend → Assign → Complete → Rate
- Attendance Tracking: Scheduled → {Present, Absent, Late, Excused, Injured}
- Parent Access: Request → Grant/Deny → View/Manage
Complex Operations:
- Drill recommendation generation (position-based)
- Practice activity reordering (drag-and-drop API)
- Bulk user operations (approve multiple)
- Access control (role + ownership validation)
Proof Element 3: Data Integrity
Referential Integrity:
∀ Child entity → Parent entity: Foreign key constraint
∀ Deletion: Cascade or restrict policy defined
∀ Update: Audit trail maintained (CreatedAt, UpdatedAt)
Authorization Rules:
∀ Endpoint: Role validation applied
∀ Resource access: Ownership validation where applicable
∀ Cross-tenant operation: Blocked at API layer
Proof Element 4: Scalability Considerations
Pagination Support:
- List endpoints return collections
- Top-N queries (e.g., top 10 rated drills)
- Date range filtering (practices, attendance)
Performance Optimizations:
- ListDto projections (avoid over-fetching)
- Selective eager loading
- Indexed queries on common filters
Multi-Tenancy:
- Data isolation by organization
- Row-level security possible
- Tenant context in auth claims
Results
Quantitative Outcomes
Backend Metrics:
- Endpoints: 100+
- DTOs: 80+
- Database tables: 15+
- Lines of backend code: ~8,000-10,000 (estimated)
- Development time: 150-200 hours
- Backend completeness: 100%
Frontend Metrics:
- UI completeness: 60%
- Remaining work: Primarily form-based CRUD
- Backend changes required: 0 (API stable)
Qualitative Outcomes
Hypothesis Validation:
✓ H1: API remained stable during frontend development
- Zero breaking changes to existing endpoints
- New features added without refactoring
✓ H2: Frontend reduced to I/O operations
- Drill library: API call → display → filter → API call
- Practice planner: API call → display → reorder → PUT
- No business logic in frontend
✓ H3: Multi-persona support without backend changes
- Coach, Player, Parent, Admin all use same API
- Authorization handled at API layer
- UI changes only affect presentation
Architecture Validation
Theorem Proven: Backend-first architecture enables:
-
Separation of Concerns
Business Logic ⊂ API Layer Presentation Logic ⊂ UI Layer Business Logic ∩ Presentation Logic = ∅ -
API as Contract
∀ Frontend implementation: API remains constant Multiple UIs possible: Web, Mobile, CLI, etc. -
Testability
API testable independent of UI Business rules validated before UI exists
Q.E.D.
What Was Demonstrated:
-
Backend-first development is viable for complex, multi-tenant systems when executed systematically
-
Complete domain modeling upfront reduces refactoring and enables confident implementation
-
Contract-first API design (DTOs, OpenAPI) creates clear development boundaries
-
Solo developer can architect production-scale systems with proper methodology and discipline
-
Frontend implementation becomes mechanical when backend architecture is sound
Corollaries
Corollary 1: Time Distribution
Architecture & Design: 20% of time → 80% of value
Implementation: 80% of time → 20% of decisions
Implication: Investment in upfront design pays exponential dividends
Corollary 2: Technical Debt Prevention
Backend refactors during frontend development: 0
Breaking API changes: 0
Database migrations required: 0
Implication: Proper architecture prevents debt accumulation
Corollary 3: Skill Demonstration
Skills proven = {
System design,
Domain modeling,
API design,
Multi-tenant architecture,
Security (AuthN/AuthZ),
Data modeling,
Business logic implementation,
Solo execution capability
}
Implication: Portfolio piece demonstrates senior+ engineering capabilities
Discussion
The Challenge
Problem Statement: Build a platform that serves coaches, players, parents, and administrators with competing needs, complex workflows, and strict data access requirements.
Constraints: Part-time development, solo execution, no existing codebase
Approach: Systematic backend-first architecture with complete business logic implementation before UI development
Why This Matters
For Product Companies:
- Demonstrates ability to architect scalable systems
- Shows understanding of multi-tenant SaaS design
- Proves capability for solo technical leadership
For Enterprises:
- Validates systematic problem-solving approach
- Shows security-first thinking (AuthZ throughout)
- Demonstrates ability to manage complexity
For Technical Teams:
- Clean code separation enables team scaling
- API-first enables parallel frontend/backend work
- Clear contracts reduce integration friction
Lessons Learned
1. Domain expertise acquisition matters
- Spent significant time understanding lacrosse terminology
- Interviewed coaches to validate data model
- Result: API matches real-world mental models
2. DTO separation prevents coupling
- CreateDto ≠ UpdateDto ≠ ResponseDto
- Enables independent evolution
- Prevents over-exposure of internal structure
3. Authorization complexity scales with personas
- 4 roles = complex permission matrix
- Solved at API layer, not UI layer
- Parent-child access control particularly nuanced
4. Template pattern enables customization
- DrillTemplates → PracticeActivities
- Reusable + customizable
- Balance between standardization and flexibility
Technical Highlights
Example API Endpoints:
Drill Library:
GET /api/DrillTemplates
GET /api/DrillTemplates/position/{position}
GET /api/DrillTemplates/difficulty/{level}
GET /api/DrillTemplates/search?query={text}
GET /api/DrillTemplates/top-rated?count=10
POST /api/DrillTemplates/{id}/rate?rating={1-5}
Practice Planning:
GET /api/Practices/season/{seasonId}
POST /api/Practices
GET /api/Practices/{id}/activities
POST /api/Practices/{id}/activities/from-template/{templateId}
PUT /api/Practices/{id}/activities/reorder
POST /api/Practices/{id}/attendance
Drill Recommendations:
GET /api/Players/{id}/drills
GET /api/Players/{id}/drills/pending
GET /api/Players/{id}/drills/completed
POST /api/Players/{id}/drills
PATCH /api/Players/{id}/drills/{drillId}/complete
PATCH /api/Players/{id}/drills/{drillId}/priority
Architecture Decisions
Multi-Tenant Design:
Organizations
└── Teams
├── Seasons
│ ├── Practices
│ │ ├── Activities (from DrillTemplates)
│ │ └── Attendance
│ └── Games
├── Players
│ ├── ParentGuardians
│ └── DrillRecommendations
└── Coaches
Key Design Patterns:
- Repository pattern for data access
- DTO pattern for API contracts
- Template pattern for drill reusability
- Strategy pattern for authorization
- Factory pattern for entity creation
Conclusion
Project ARES demonstrates that backend-first architecture, executed with systematic rigor, produces production-ready systems where frontend development becomes a mechanical exercise rather than an architectural challenge.
The 100+ endpoint API, complete business logic implementation, and zero refactoring requirement during UI development validate the hypothesis that proper upfront design enables confident, efficient execution.
This project showcases:
- System Architecture: Multi-tenant SaaS design with proper data isolation
- API Design: RESTful principles with comprehensive DTOs
- Security Engineering: Role-based authorization throughout
- Business Logic: Complex workflows without frontend coupling
- Professional Execution: Complete backend before UI implementation
Completed: November 2025
Technology: .NET 10, Entity Framework Core, Azure SQL, Azure App Service
Technical Artifacts:
- OpenAPI Specification: Available upon request for serious hiring conversations
- Source Code: Available for review in technical interviews or investor discussions
- Architecture Documentation: Can be provided to demonstrate system design approach
Note: Project ARES is being evaluated as a commercial product for youth sports organizations. Full technical details are available for legitimate professional or business inquiries.
The backend is complete. The frontend is inevitable.