AI EngineeringInterview preparation
Intermediate·Concept·2 min read

Shared MERN architecture

Practice this question

🔴 MUST KNOW · Your existing backend architecture stays useful; AI becomes a controlled dependency.

Architecture at a glanceFollow the arrows to see how the parts connect.

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.