CodeNull Architecture
CodeNull follows a modern, scalable architecture designed to provide a seamless experience for creating web applications without coding. This document outlines the technical components and how they interact to power the platform.System Overview

Architecture Components
User Interface Layer
Next.js-based frontend with dashboard interfaces
API Services Layer
FastAPI-powered backend services
AI Generative Core
AI models for code and content generation
Database Systems
MongoDB for flexible data storage
Storage Services
Asset management and file storage
DevOps Infrastructure
CI/CD pipelines and containerization
Technical Stack
Next.js
React framework for server-rendered applications
Tailwind CSS
Utility-first CSS framework
ShadCN
Accessible component library
Lucide
High-quality icon set
Liveblocks
Real-time collaboration features
System Flows
User Interface Generation Flow
1
User Input
User provides a description of the desired UI component or page
2
AI Processing
The description is processed by the AI generative core
3
Code Generation
AI generates React/Next.js component code with Tailwind styling
4
Preview Rendering
Generated code is rendered in real-time for user preview
5
Customization
User can modify generated components through the visual editor
6
Integration
Component is integrated into the user’s project codebase
API Creation Flow
1
API Definition
User defines API requirements through the visual interface
2
Schema Generation
The system generates OpenAPI schema based on requirements
3
Logic Implementation
Backend logic is created through visual flow builder
4
Database Connection
API endpoints are connected to database collections
5
Testing
Endpoints are tested through the built-in testing interface
6
Deployment
API is deployed as serverless functions or container services
Scalability Design
The platform is designed for horizontal scalability:- Stateless services: Backend components are stateless for easy scaling
- Containerization: All services are containerized for consistent deployment
- Microservices: Independent scaling of individual services based on load
- Database sharding: Data distribution for high-volume applications
- Edge computing: Global CDN for frontend assets and API caching
- Auto-scaling: Automatic resource adjustment based on demand