運用AI打造真實網路應用程式：從概念到上線的系統化方法

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Building Real Web Apps with AI

From Idea to Production - A Systematic Approach

Learn the complete workflow for building production-ready web applications with AI. From ideation to testing to deployment, this guide shows you the process professional developers use to ship real apps.

That app idea in your head? The one with user accounts, a database, maybe payments? You've been putting it off because you don't know where to start—not just the coding, but the entire process.

The process matters more than the code. Once you understand the systematic approach, AI can help you implement each step.

The Tech Stack

Building web apps involves choosing from many technologies: programming languages (JavaScript, Python, PHP, Ruby), frameworks (Next.js, Django, Laravel, Ruby on Rails, Angular), and databases (PostgreSQL, MySQL, MongoDB). We're choosing the following stack because it's the most popular, has extensive learning resources, and is flexible enough to build almost any idea you can think of—from simple tools to complex SaaS applications.

AI Coding Setup Options

The right AI coding setup is your secret weapon. It turns hours of work into minutes—writing components, debugging errors, and navigating unfamiliar codebases becomes almost effortless. Here are our recommended setups:

Recommendation

Start with Cursor—it's the easiest to get started with. Add Claude Code later when you need deeper codebase understanding or help with complex architectural decisions.

The 5-Step Workflow

Now that you have your tools ready, here's the systematic process we'll follow. Each step builds on the previous one—skip nothing, and you'll have a production-ready app.

Refine Idea

Setup Environment

Build Foundation

Build Features

Launch & Monitor

Refine Idea

Setup Environment

Build Foundation

Build Features

Launch & Monitor

Key insight: Build one well-tested feature at a time. Deploy it. Move to the next.

Refine Your Idea

Most people skip this and jump straight into coding. Big mistake.

Define Your MVP

Open ChatGPT or Claude and have a real conversation:

After brainstorming, get specific:

Example MVP Breakdown

Build later: Advanced analytics, social features, custom reminders, mobile apps. Ship the MVP first, then add these based on user feedback.

Document Your Data Model

AI will provide something like:

Pro Tip: Extending User Profiles

Supabase Auth stores authentication data in a special auth.users table (email, password hash, OAuth tokens). You cannot modify this table directly.

If you need additional user information like usernames, bio, avatar URL, or social accounts, create a separate public.profiles table linked to auth.users via the same id. Then use a database trigger to automatically create a profile record whenever someone signs up.

This keeps auth data (managed by Supabase) separate from your custom user data (managed by you).

Save this document. You'll reference it constantly during development.

Set Up Your Environment

Prerequisites

Before building anything, you need a few essential tools. Node.js runs your development server and manages packages. Git tracks code changes and connects to GitHub for version control. Your AI coding tool (Cursor or VS Code with Claude Code) writes most of the code. The Supabase CLI lets you run a local database and manage migrations. Finally, you'll need a GitHub account to store your code and connect to deployment platforms like Vercel or Netlify.

Create Your Project

Let's scaffold a new Next.js application with all the modern defaults we need.

Next.js project setup commands

Install Dependencies

We'll install the Supabase client libraries for database and authentication. For UI components, we recommend Shadcn/ui—it gives you beautifully designed, accessible components that you own and can customize. Feel free to use another UI library if you prefer.

Supabase and Shadcn setup

Set Up Git

Version control is essential. Initialize Git and connect to a remote repository to keep your code safe and enable collaboration.

Git initialization commands

Supabase: Three Environments

We recommend setting up three separate database environments from the start. This keeps your development experiments isolated from real user data and gives you a safe place to test changes before they go live.

Local Supabase setup

Environment Variables

Environment files store sensitive configuration like API keys and database URLs. You'll have one file per environment. While we're starting with Supabase credentials, you'll add other variables here as your app grows (API keys, feature flags, etc.)—more on this later.

Create three files in your project root:

Environment file examples

How to switch between environments

Local development (default):

Testing with staging database locally:

Deploying to Vercel or Netlify:

Never commit .env files to Git. Environment variables stay local or get added directly to your hosting provider.

Understanding Migrations

Critical concept

Migrations are version-controlled SQL files that define your database schema. They ensure everyone has the same database structure.

The workflow:

Example migration file

Applying Migrations

Once you've created a migration file, you need to apply it to your databases.

Local database commands

Cloud database commands

Always test migrations on your local and staging environments before pushing to production. Database changes can be difficult to reverse.

Build Foundation: Layout & Auth

Create Layout Structure

Every page in your app will share a common layout—navbar, footer, and content area. Let's create this foundation first so all future pages automatically inherit it.

Set Up Authentication

Supabase offers many authentication methods—OAuth providers (Google, GitHub, etc.), Magic Links, email/password, and more. To keep things simple, we recommend:

If you want the simplest setup, use Google Login only. Adding Magic Links requires configuring an email service (like Resend) to send the login links. We avoid traditional email/password authentication—it opens the door to security issues like weak passwords, credential stuffing, and password reset vulnerabilities.

Configure Supabase Auth

Create Auth Pages

With Google and Magic Link, you only need a simple login page—no separate signup or password reset flows to build. Users are automatically created in Supabase on their first login.

Protect Routes with Middleware

Next.js middleware runs before every request, making it the perfect place to check authentication. If a user tries to access a protected page without being logged in, they'll be redirected to the login page.

Test Authentication

Before moving on, verify that authentication works end-to-end. This is one of those things you want to get right early—debugging auth issues later is painful.

Google OAuth doesn't work with local Supabase. To test Google Login, connect to your cloud staging instance by renaming .env.staging to .env.local temporarily. Magic Links also require a cloud instance with email configured.

Check Supabase Studio to verify users are being created—use your cloud dashboard at supabase.com/dashboard when testing with staging, or localhost:54323 for local testing.

Build Features Iteratively

Git Workflow

Before diving into features, let's establish a Git workflow that works with our two Supabase environments (staging and production).

Branch Strategy

We use two long-lived branches, each connected to its own database:

For each feature:

Git commands for feature workflow

Set Up Vercel or Netlify

Before building features, connect your repository to a hosting provider. You only need one project — it automatically handles staging vs production deployments.

How Environment Variables Work

Vercel and Netlify assign environment variables by deployment type, not branch name:

Configure Environment Variables

Add your Supabase credentials separately for Preview (staging) and Production:

In Vercel: Settings → Environment Variables → Add each variable and select which environments it applies to.

In Netlify: Site settings → Environment variables → Create variable with different values per deploy context.

Never commit environment variables to Git. Always configure them in your hosting provider's dashboard.

The result:

Same codebase, different configs, fully isolated.

The Feature Development Cycle

For every feature, follow this process:

Plan

Migration

API Routes

UI

Manual Tests

Write Tests

Deploy

Plan

Migration

API Routes

UI

Manual Tests

Write Tests

Deploy

Example: Building Habits CRUD

Let's walk through the cycle with our first real feature—the ability to create, read, update, and delete habits. This is the core of our app.

Step 1: Plan Feature & Data Model

Before writing code, get clear on what you're building. Spend 10-30 minutes thinking through the user experience and data requirements.

Feature scope:

Data model — habits table:

Step 2: Create Migration

Now translate your data model into a database migration. This creates the actual table in your database.

Complete migration SQL

Step 3: Create API Routes

With the database ready, create the API endpoints that your frontend will call. These handle all the business logic and database operations.

Step 4: Implement UI

Now build the user interface. This is where users actually interact with your feature—make it intuitive and responsive.

Step 5: Manual Testing

Before automating anything, click through the feature yourself. Find and fix obvious bugs now—it's faster than debugging failing tests later.

Step 6: Write Tests

Once everything works manually, write tests to lock in the behavior. Tests catch regressions when you add new features later.

Install the testing libraries (you only do this once per project):

Unit tests verify individual pieces work correctly in isolation. They're fast and run without a browser.

Expected output: Test files in tests/ or *.test.ts files next to your API routes. Each test mocks Supabase responses and verifies your route handlers return correct data and status codes.

E2E (end-to-end) tests simulate real users clicking through your app in an actual browser. They're slower but catch integration issues.

Expected output: Test files in e2e/ or tests/ folder. Playwright launches a real browser, navigates to your app, fills forms, clicks buttons, and asserts the UI updates correctly.

Tests as safety nets

Build first, test to lock it in. Tests ensure future changes don't break existing features.

Step 7: Deploy

Feature complete and tested locally? Time to ship it.

Merge to dev (deploys to staging):

Test on your staging URL. Once it works, promote to production:

Merge dev to main (deploys to production):

Always push database migrations BEFORE merging code that depends on them.

Launch & Monitor

You've built features, tested them on staging, and deployed to production. Now it's time to launch properly.

Custom Domain

Connect your own domain to make your app feel professional.

Pre-Launch Checklist

Before announcing to the world, verify these basics:

Monitoring

Once your app is live, you need visibility into errors and user behavior. These tools have free tiers for small apps.

Error tracking — Know when things break before your users tell you:

Analytics — Understand how users interact with your app:

Don't over-engineer monitoring at launch. Start with error tracking (Sentry) so you know when things break. Add analytics once you have users and questions about their behavior.

Advanced Topics

Once you've shipped your MVP and have users, add these features as needed.

Stripe Payment Integration

Real-time Features (Supabase Realtime)

File Uploads (Supabase Storage)

Email Notifications (Resend)

Background Jobs (Scheduled Tasks)

Working Effectively with AI

Be Specific

Give Context

Iterate

Verify

Be Specific

Give Context

Iterate

Verify

AI Strengths vs Your Judgment

AI excels at

You decide

Project Rules Files

Most AI coding tools let you store project context in a rules file. This gives the AI knowledge about your stack, conventions, and patterns—so you don't have to repeat yourself in every prompt.

What to include in your rules file:

Start simple, iterate

Begin with basic stack info and add rules as you notice repeated corrections. A good rules file evolves with your project.

Effective Prompting

The golden rule

Be specific about what you want, include relevant context, and tackle one thing at a time.

What You've Learned

You now understand:

More importantly: You have a repeatable process. Every app follows this pattern.

Next Steps

Pick a project that matches your current skill level and build it end-to-end using this guide.

🌱 Start Simple

🌿 Medium Complexity

🌳 More Advanced

Now go build something real

You know the process. You have the tools. The difference between people who ship and people who don't isn't talent—it's starting, then following through systematically.

Last updated: December 2024

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