Shared MERN architecture
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🔴 MUST KNOW · Your existing backend architecture stays useful; AI becomes a controlled dependency.
Preparing the architecture diagram…
Read the full diagram flow
flowchart TD
UI[Next.js / React] --> API[Node API: auth, validation, quotas]
API --> AI[AI service: context, models, routing]
AI --> L[Approved LLM adapter/gateway]
AI --> G[Optional agent / LangGraph]
G --> T[Authorized tools / optional MCP facade]
AI --> R[Retrieval service / vector index]
T --> DB[MongoDB or PostgreSQL business services]
API --> Q[Queue / durable workflow]
Q --> W[Node workers / optional Python FastAPI workers]
W --> R
API --> C[Redis: scoped caches and counters]- Next.js renders the interface and safe streamed events.
- Node authenticates users and owns the application boundary.
- The AI service manages prompts, context, and models.
- Graphs are optional execution control.
- Tools enforce business operations.
- Retrieval provides evidence.
- Queues run long work.
- Python is introduced for document/model/numerical capabilities when it provides a practical benefit.
- Redis supports caches and rate limits, while the primary database retains durable records.
Adapted from 13_AI.MD · “Shared MERN architecture”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.