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✅ JD-Inspired Stack Plan (Refined)

Component	Choice	Rationale
Auth	Firebase Auth (Google)	Fast setup, works great with React
Frontend	React + TypeScript	Vite + Router + Tailwind
Backend	FastAPI	Async, clean, Python-native
Infra	GCP + Cloud Run	Scalable, cheap to start, full-stack-ready
DB	AlloyDB (Postgres)	GCP-native Postgres
Vector Store	Qdrant (Docker)	Simple, robust, local or hosted
Monitoring	Prometheus + Grafana	Battle-tested observability stack
Feature Flags	Statsig	Modern, integrates well across stack

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🔧 Step-by-Step Build Order (Fixed and Streamlined)

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1. React Frontend Scaffold (With Firebase Install After)

npm create vite@latest frontend -- --template react-ts
cd frontend
npm install
npm install react-router-dom
npm install firebase
npm install -D tailwindcss postcss autoprefixer
npx tailwindcss init -p

Set up:

• tailwind.config.js
• Add Tailwind to index.css
• Configure firebase.ts with initializeApp(...)

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2. Firebase Setup (After Frontend Exists)

• Go to Firebase Console

• Create a new project

• Enable Authentication → Sign-in method → Google

• Go to Project Settings → get apiKey, authDomain, etc.

• Create src/firebase.ts:

  import { initializeApp } from "firebase/app";
  import { getAuth, GoogleAuthProvider } from "firebase/auth";
  
  const firebaseConfig = {
    apiKey: "xxx",
    authDomain: "xxx.firebaseapp.com",
    projectId: "xxx",
  };
  
  const app = initializeApp(firebaseConfig);
  export const auth = getAuth(app);
  export const provider = new GoogleAuthProvider();

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3. Backend API Setup (FastAPI)

mkdir app && cd app
python -m venv venv && source venv/bin/activate  # Use `venv\Scripts\activate` on Windows
pip install fastapi[all] uvicorn psycopg2-binary

Create main.py:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def root():
    return {"msg": "Hello world"}

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4. Docker Compose for Dev

You’ll run:

• FastAPI backend
• React frontend
• Postgres DB
• Optional: Qdrant vector store

Let me know and I’ll generate:

• docker-compose.yml
• Dockerfile for React + FastAPI

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5. Qdrant Vector Store Setup

In docker-compose.yml:

vector-db:
  image: qdrant/qdrant
  ports:
    - "6333:6333"

In FastAPI:

pip install qdrant-client sentence-transformers

Create services/embedding.py with Qdrant wrapper class.

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6. GCP Infrastructure Plan

Use GCP services:

• Cloud Run: container deploy for API & optionally frontend
• Cloud SQL (AlloyDB): managed PostgreSQL
• Artifact Registry: store container builds
• Cloud Build or GitHub Actions: CI/CD

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7. Monitoring: Prometheus + Grafana

Use Docker locally:

• prometheus.yml config

• Mount metrics from FastAPI using:

  pip install prometheus-fastapi-instrumentator

Expose metrics at /metrics.

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8. Feature Flags with Statsig

• Install React SDK

• Install Python SDK

• Use:

  statsig.checkGate("new-feature")

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✅ Ready to Generate Files?

Choose what you want dropped in next:

• docker-compose.yml
• Dockerfile.api / Dockerfile.frontend
• firebase.ts auth handler
• Qdrant integration
• Prometheus starter config

Let’s build it.