Modern Web App Platform
Full-Stack Solution for AI-Powered Applications
Comprehensive platform combining web UI, backend services, and database in a unified development environment optimized for AI agent integration and real-time applications.
Platform Architecture
Fiberwise provides a complete web application platform built specifically for AI-powered applications, offering everything from development tools to production deployment capabilities.
Frontend Layer
Web Components Architecture
- Vanilla JavaScript ES6+ - Modern JavaScript without framework dependencies
- Custom Web Components - Reusable, encapsulated UI elements
- Client-side Router - Fast navigation and deep linking support
- Real-time WebSocket Integration - Live updates and streaming responses
- Vite Build System - Lightning-fast development and optimized production builds
Backend Services
FastAPI Python Backend
- FastAPI Framework - High-performance async API server
- Automatic API Documentation - OpenAPI/Swagger generation
- WebSocket Support - Real-time bidirectional communication
- JWT Authentication - Secure session management
- CORS & Security - Production-ready security middleware
Data Layer
Cross-Database System
- Multiple Database Support - SQLite, PostgreSQL, DuckDB, MySQL, MariaDB
- Query Adapter - Automatic SQL dialect translation for cross-database compatibility
- Write Once, Run Anywhere - Same code works across all supported databases
- Dynamic Schema - App-defined data models with automatic migration
- Database Switching - Change databases by updating DATABASE_URL
Development Tools
Developer Experience
- Hot Reload - Instant updates during development
- CLI Tools - Project scaffolding and deployment
- Debug Dashboard - Real-time system monitoring
- API Explorer - Interactive endpoint testing
- Log Aggregation - Centralized application logging
Development Workflow
Local Development Server
Start developing immediately with the built-in development server featuring hot reload, automatic database setup, and integrated debugging tools.
fiberwise dev --port 8000
# Server starts with hot reload enabled
# Database auto-migrated
# WebSocket connections readyApp Development
Build applications using the Web Components architecture with integrated AI agent support and real-time capabilities.
// Create custom web component
class ChatInterface extends HTMLElement {
connectedCallback() {
this.setupWebSocket();
this.render();
}
}Production Deployment
Deploy to production with optimized builds, database migrations, and monitoring capabilities.
fiberwise build --production
fiberwise deploy --environment prod
# Assets optimized and minified
# Database migrations appliedPlatform Features
🚀 Performance
- Async/await throughout the stack
- Efficient WebSocket connections
- Optimized database queries
- CDN-ready static assets
- Lazy loading components
🔧 Developer Experience
- Zero-config development setup
- Automatic code generation
- Interactive API documentation
- Real-time error reporting
- Integrated testing tools
🔒 Security & Reliability
- JWT-based authentication
- CSRF protection
- Rate limiting
- Input validation
- Error boundary handling
📱 Modern Standards
- Progressive Web App support
- Mobile-responsive design
- Accessibility compliance
- SEO optimization
- Browser compatibility
AI Agent Integration
The platform is specifically designed to work seamlessly with AI agents, providing real-time communication and dynamic content generation.
Real-time Agent Communication
// Frontend WebSocket integration
class AgentChat extends HTMLElement {
constructor() {
super();
this.wsConnection = new FiberwiseWebSocket('/ws/agent-chat');
}
async sendMessage(message) {
// Send to agent via WebSocket
this.wsConnection.send({
type: 'agent_message',
content: message,
agent_id: 'chat-assistant'
});
}
handleAgentResponse(response) {
// Real-time response handling
this.updateUI(response.content);
if (response.streaming) {
this.handleStreamingResponse(response);
}
}
}Dynamic Data Models
# Backend agent with data model integration
class CustomerSupportAgent(FiberAgent):
name = "customer-support"
# Data model automatically creates database table
ticket_model = {
'title': str,
'description': str,
'priority': int,
'status': str,
'created_by': str
}
async def handle_ticket(self, ticket_data):
# Create ticket in database
ticket = await self.data.create('tickets', ticket_data)
# Real-time update to frontend
await self.websocket.broadcast({
'type': 'ticket_created',
'ticket': ticket
})
return ticket