Technical Architecture

NexCore adopts a modern technology stack to ensure high performance, scalability, and development efficiency. We adhere to engineering principles of frontend-backend separation, API contract-driven development, and containerized deployment.

🛠️ Core Tech Stack

Frontend

Building ultimate user experiences, focusing on performance and interaction details.

Tech	Description
Vue 3	Core framework, using Composition API for reusable logic
TypeScript	Full type safety, reducing runtime errors and improving maintainability
Element Plus	Enterprise-grade UI library, customized to fit brand identity
Vite	High-speed build tool providing instant hot module replacement
Pinia	Lightweight state management for modular application state

Backend

Robust and efficient server-side architecture supporting complex business logic.

Tech	Description
Flask / FastAPI	Python microservice frameworks, flexible and lightweight, perfect for AI ecosystem
MongoDB	Document-oriented database, flexible for data structure changes and rapid iteration
Redis	High-performance cache and message queue for system responsiveness
Docker	Containerized deployment ensuring environment consistency and rapid delivery

AI & Algorithms

Full-link support from model research to engineering implementation.

Tech	Description
PyTorch	Deep learning framework for model training and fine-tuning
Hugging Face	Pre-trained model library for rapid reuse of SOTA models
ONNX Runtime	Cross-platform high-performance inference engine for model deployment
LangChain	Orchestration framework for building LLM applications

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📐 Architecture Principles

1. Frontend-Backend Decoupling

• Protocol: Unified interaction via RESTful API (/api/v1/*).
• Contract First: Define OpenAPI/Swagger documentation before development for parallel workflows.

2. Layered Architecture

Backend code strictly follows layered design to ensure single responsibility:

graph LR
    A[Controller Layer] --> B[Service Layer]
    B --> C[Repository Layer]
    C --> D[(MongoDB)]

• Controller: Handles HTTP requests and parameter validation.
• Service: Core business logic and transaction management.
• Repository: Data access abstraction, hiding database details.

3. Unified Standards

• Response Format: All interfaces return a unified data structure.

  {
    "code": 200,
    "message": "success",
    "data": { ... }
  }

• Error Handling: Global exception capturing returning standard error codes.

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🚀 Engineering Practices

Automation

We have introduced CI/CD processes. Code submission triggers automatic linting, unit testing, and build deployment to ensure high-quality delivery.

• Git Flow: Standardized branch management strategy.
• Code Review: Strict code review mechanism.
• Linting: Eslint + Prettier + Black (Python) for unified code style.