fullstack-app
Guidance for building fullstack apps with Vite (React + TypeScript) frontend and FastAPI backend. Use when demos need a web UI beyond what Streamlit provides.
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---
name: "fullstack-app"
description: "Guidance for building fullstack apps with Vite (React + TypeScript) frontend and FastAPI backend. Use when demos need a web UI beyond what Streamlit provides."
license: "MIT"
---
# Fullstack App Development (Vite + FastAPI)
## When to Use This vs Streamlit
**Use Streamlit if:**
- App is read-only (displaying charts/tables)
- User is you or colleagues (internal tool)
- State doesn't matter (page refresh resets inputs = fine)
**Use Vite + FastAPI if:**
- Need login/auth
- Need to save user data (CRUD)
- UI must feel responsive (Streamlit lags on every click)
- Showing to non-technical stakeholders (Shadcn looks polished)
---
## Tech Stack
| Layer | Technology |
|-------|------------|
| Frontend | Vite + React + TypeScript |
| Styling | Tailwind CSS + Shadcn UI |
| Backend | FastAPI (Python) |
| Package Manager | pnpm |
| The Glue | OpenAPI (FastAPI auto-generates it) |
---
## Project Setup
### 1. Initialize Structure
```bash
mkdir my-app && cd my-app
# Frontend
pnpm create vite@latest frontend --template react-ts
cd frontend
pnpm install
# Add Tailwind v4 (uses Vite plugin, NOT tailwind.config.js)
pnpm add tailwindcss @tailwindcss/vite
# Replace src/index.css contents with: @import "tailwindcss";
# Initialize Shadcn (use explicit flags to avoid interactive prompts)
pnpm dlx shadcn@latest init -y --base-color neutral
cd ..
# Backend
mkdir backend
cd backend
uv init
uv add fastapi uvicorn pydantic
```
### 2. Configure vite.config.ts (Tailwind v4)
**IMPORTANT:** Tailwind v4 uses a Vite plugin. Do NOT create a `tailwind.config.js` file.
```typescript
// frontend/vite.config.ts
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
import tailwindcss from '@tailwindcss/vite'
import path from 'path'
export default defineConfig({
plugins: [react(), tailwindcss()],
resolve: {
alias: {
'@': path.resolve(__dirname, './src'),
},
},
})
```
### 3. Configure CORS (backend/main.py)
```python
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["http://localhost:5173"], # Vite dev server
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
```
**Alternative: Vite Proxy (avoids CORS entirely)**
Instead of CORS middleware, you can proxy API requests through Vite. Add to `vite.config.ts`:
```typescript
server: {
proxy: {
'/api': {
target: 'http://localhost:8000',
changeOrigin: true,
rewrite: (path) => path.replace(/^\/api/, ''),
},
},
},
```
Then use `/api/analyze` instead of `http://localhost:8000/analyze` in your frontend fetch calls.
---
## The OpenAPI Workflow (Critical)
**The biggest risk:** Frontend guessing what backend built.
**The solution:** Use FastAPI's auto-generated OpenAPI spec as the contract.
### Workflow:
1. **Build backend first** with proper Pydantic models
2. **Run backend**: `uv run uvicorn main:app --reload`
3. **Check the contract**: Visit `http://localhost:8000/openapi.json`
4. **Build frontend against the contract** - Reference the spec, don't guess
### Frontend Typing Pattern
```typescript
// Define types matching your Pydantic models
interface AnalyzeRequest {
text: string;
}
interface AnalyzeResponse {
score: number;
explanation: string;
}
// Type-safe fetch
async function analyzeText(data: AnalyzeRequest): Promise<AnalyzeResponse> {
const res = await fetch('http://localhost:8000/analyze', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(data),
});
return res.json();
}
```
---
## Shadcn UI Rules
**Critical:** Shadcn components must be installed before use.
```bash
# Correct - install first
pnpm dlx shadcn@latest add button
# Then import
import { Button } from "@/components/ui/button"
# WRONG - this package doesn't exist
import { Button } from "shadcn-ui"
```
### Common components to install:
```bash
pnpm dlx shadcn@latest add button card input form dialog
```
### Project structure:
- `/components/ui/` - Shadcn base components (CLI puts them here)
- `/components/features/` - Your composed components using Shadcn
---
## Architecture Rules
### Frontend = Display Only
- No complex data manipulation in JS
- Use React.useState for UI toggles
- Use React.useEffect for data fetching
- Keep business logic in Python
### Backend = Logic & State
- All heavy lifting in Python
- Use Pydantic models for ALL request/response bodies
- This ensures frontend gets correct types
---
## Running the App
```bash
# Terminal 1: Backend
cd backend
uv run uvicorn main:app --reload --port 8000
# Terminal 2: Frontend
cd frontend
pnpm run dev
# Opens at http://localhost:5173
```
---
## Leveling Up (For Complex Apps)
For simple demos (1-2 endpoints), the patterns above are sufficient.
For more complex apps:
| Need | Tool |
|------|------|
| Auto-generate TypeScript client | `npx @hey-api/openapi-ts -i http://localhost:8000/openapi.json -o src/client` |
| Caching, loading states, refetching | TanStack Query (React Query) |
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