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Architecture Knowledge Base

This section contains architectural decisions, patterns, and design principles used throughout the LyfeAI Provider project.

Overview​

Our architecture is built around:

  • Next.js 14 App Router for the frontend framework
  • Supabase for database and authentication
  • FHIR for healthcare data standards
  • OpenAI GPT-4 for AI capabilities

Key Architectural Decisions​

1. Server Components First​

We prioritize server components for better performance and reduced client bundle size.

2. Role-Based Access Control (RBAC)​

Implemented at multiple levels:

  • Database level with Row Level Security (RLS)
  • Application level with role checks
  • UI level with conditional rendering

3. FHIR Compliance​

All patient data follows FHIR standards for interoperability.

Architecture Documentation​

Detailed architecture documentation will be added here as the project evolves.