AI-Driven Reservation System

AI-Driven Reservation System
A modern application for scheduling services, managing user reservations, and integrating automated testing and AI-driven code enhancements.

Project Stack & Tools

1. Frontend

• Framework: Next.js (latest version; hybrid SSR/CSR).
• Styling: Tailwind CSS + DaisyUI for rapid UI development.
• State Management: React Query for data fetching and caching.

2. Backend

• Runtime: Node.js (TypeScript).
• Database: Supabase for Postgres, Realtime, and Auth.
• API: RESTful endpoints (auto-generated by Supabase or custom ones in Next.js API routes).

3. Testing

• E2E Tests: Playwright for cross-browser testing.
• Unit & Integration: Jest (optional).

4. Deployment & Hosting

• Version Control: Git + GitHub (or GitLab).
• Staging: Replit for quick live previews and collaboration.
• Production: Vercel for hosting the Next.js frontend & Supabase for backend.

5. AI-Driven Tools

• Cursor: AI-assisted coding, test generation, and refactoring suggestions.
• Windsurf: Real-time code analysis, performance checks, and security insights.
• Cline: Command-line prompts for project-wide analysis, optimization, and issue detection.

Step-by-Step Implementation

1. Project Setup & Version Control

1. Local / Replit

cd ai-reservation-system

2. Initialize Next.js

npx create-next-app@latest ai-reservation-system --typescript
cd ai-reservation-system

2. Frontend Configuration

1. Install Tailwind CSS & DaisyUI

npm install -D tailwindcss postcss autoprefixer
npm install daisyui
npx tailwindcss init -p

2. Configure Tailwind (tailwind.config.js)

module.exports = {
  content: [
    './pages/**/*.{js,ts,jsx,tsx}',
    './components/**/*.{js,ts,jsx,tsx}'
  ],
  theme: {
    extend: {},
  },
  plugins: [require('daisyui')],
};

3. AI-Assisted Frontend Structure

• Cursor/Windsurf Prompt:

"Generate a simple reservation form in Next.js using Tailwind and DaisyUI. 
 Include date/time inputs and a 'Book Now' button. Make sure the UI is responsive."

• This will help you rapidly prototype the UI with minimal hand coding.

3. Supabase Backend Setup

1. Create a Supabase Project

• Go to Supabase, sign up, and create a new project.
• Copy the API URL and public API key.

2. Database Schema

• In Supabase SQL editor or the table UI, create a reservations table:

CREATE TABLE reservations (
  id SERIAL PRIMARY KEY,
  user_id UUID REFERENCES auth.users (id),
  service VARCHAR(255) NOT NULL,
  date TIMESTAMP NOT NULL,
  status TEXT CHECK (status IN ('pending', 'confirmed', 'cancelled')) DEFAULT 'pending'
);

3. Environment Variables

• Store credentials in your local .env (and Replit’s Secrets for staging):

NEXT_PUBLIC_SUPABASE_URL=your-supabase-url
NEXT_PUBLIC_SUPABASE_KEY=your-public-anon-key

4. Supabase Client (lib/supabase.ts or similar):

import { createClient } from '@supabase/supabase-js';

const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL!;
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_KEY!;
export const supabase = createClient(supabaseUrl, supabaseKey);

4. Implementing Reservation Logic

1. Prompt-Driven Development with Cursor or Windsurf:

"Create a TypeScript function named createReservation 
 that inserts a new record into the reservations table. 
 The function should validate the date and throw errors if invalid."

2. Sample Code (services/reservations.ts):

import { supabase } from '@/lib/supabase';

export async function createReservation(service: string, date: string) {
  if (!service || !date) {
    throw new Error('Service and date are required.');
  }

  const { data, error } = await supabase
    .from('reservations')
    .insert([{ service, date }]);

  if (error) throw error;
  return data;
}

3. UI Integration (pages/index.tsx or a dedicated page):

import { useState } from 'react';
import { createReservation } from '@/services/reservations';

export default function Home() {
  const [service, setService] = useState('');
  const [date, setDate] = useState('');

  const handleBooking = async () => {
    try {
      await createReservation(service, date);
      alert('Reservation Created Successfully!');
    } catch (err) {
      console.error(err);
      alert('Error creating reservation');
    }
  };

  return (
    <div className="container mx-auto p-4">
      <h1 className="text-2xl font-bold">Reserve a Service</h1>
      <input
        className="input input-bordered w-full mt-4"
        placeholder="Service Name"
        value={service}
        onChange={(e) => setService(e.target.value)}
      />
      <input
        type="datetime-local"
        className="input input-bordered w-full mt-4"
        value={date}
        onChange={(e) => setDate(e.target.value)}
      />
      <button className="btn btn-primary mt-4" onClick={handleBooking}>
        Book Now
      </button>
    </div>
  );
}

5. Automated Testing with Playwright

Install & Configure Playwright

npm install -D @playwright/test
npx playwright install

Create a Test (tests/reservation.spec.ts):

import { test, expect } from '@playwright/test';

test('should create a new reservation', async ({ page }) => {
  await page.goto('http://localhost:3000');
  await page.fill('input[placeholder="Service Name"]', 'Haircut');
  await page.fill('input[type="datetime-local"]', '2025-05-01T09:00');
  await page.click('button:has-text("Book Now")');
  // Expect an alert or a UI message
  // If you display a message instead of alert, you can verify it below:
  // const successMessage = await page.textContent('.success-message');
  // expect(successMessage).toContain('Reservation Created');
});

Run Tests

npx playwright test

6. AI Tools (Cursor, Windsurf, Cline)

1. Cursor

Prompt Example:

"Cursor, please refactor the createReservation function for better error handling 
 and generate additional Jest unit tests for edge cases."

2. Windsurf

Prompt Example:

"Windsurf, analyze the codebase for potential performance bottlenecks 
 and suggest improvements, especially around database queries."

3. Cline (Command-Line Intelligence)

CLI Usage:

cline analyze --path=./ --type=security,performance

Prompt Example:

"Cline, identify any major security vulnerabilities in the Next.js API routes 
 and recommend fixes."

7. Continuous Integration & Deployment

CI with GitHub Actions (.github/workflows/ci.yml):

name: CI
on: push
jobs:
  build-and-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Install dependencies
        run: npm install
      - name: Run tests
        run: npx playwright test
      - name: Build
        run: npm run build
      - name: Deploy to Vercel
        uses: amondnet/vercel-action@v20
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-args: "--prod"

Replit Staging

• Import your Git repo into Replit.
• Configure environment variables (Supabase keys, etc.) in Secrets.
• Preview changes live before merging to main.

Production on Vercel

• Link your GitHub repo to Vercel.
• Automatic deployments on every push to main (or a production branch).

Benefits & Best Practices

• Git ensures robust version control and collaboration.
• Replit offers real-time collaboration and a straightforward staging environment.
• Supabase unifies database, authentication, and real-time features — no separate servers needed.
• Playwright provides reliable E2E testing across multiple browsers, maintaining app quality.
• AI Tools (Cursor, Windsurf, Cline) offload repetitive tasks, refactor code, and analyze performance/security.
• Next.js + Tailwind + DaisyUI accelerate UI development, ensuring a modern, responsive design.

By combining these technologies with prompt-based AI assistance, your development workflow becomes faster, more accurate, and more maintainable. This approach empowers teams to focus on core business logic and user experience, while AI handles repetitive or complex code analysis tasks.

Need Customizations?
You can expand this setup with advanced authorization (Role-Based Access Control), real-time updates (Supabase Realtime), and robust webhooks (Edge Functions) for external integrations (e.g., payment processing, notifications, etc.). Adapt the prompts to your specific requirements and let the AI-driven tools handle the heavy lifting.