You're in. Let's build.

Welcome to the course. Here's how to get the most out of it:

How This Works

• Follow the modules in order. Each one builds on the last. Module 1 gives you the mental model, Module 2 gets your environment locked in, and by Module 3 you're shipping real screens.

• Don't just read — build. Every lesson has practical steps. Open Cursor alongside the lesson and code along in real time.

• Use the community chat. Stuck on a prompt that's generating garbage? Post it. Someone else has hit the same wall.

What You'll Walk Away With

By Module 5, you'll have a fully deployed mobile app built almost entirely with AI-assisted development. More importantly, you'll have a repeatable workflow you can use on every project going forward.

Quick Start Checklist

1. ✅ Install Cursor (if you haven't already)

2. ✅ Install Node.js 18+ and Expo CLI

3. ✅ Start Module 1, Lesson 1

4. ✅ Introduce yourself in the community chat

The speed difference between traditional development and AI-assisted development is not incremental — it's a paradigm shift. Let's get after it.

— BuildWithAI Team

Most developers using AI code generation write terrible prompts and get terrible results. Here are 5 prompt patterns I use daily that consistently produce production-quality React Native code.

1. The "Context-First" Pattern

Bad: "Make a login screen"

Good: "I'm building a React Native app with Expo Router and NativeWind for styling. Create a login screen component at app/(auth)/login.tsx with email/password fields, form validation using react-hook-form, and a clean minimal design using NativeWind classes. Use the AuthContext I have at contexts/AuthContext.tsx."

Why it works: AI models generate significantly better code when they know your stack, file structure, and existing patterns.

2. The "Refactor With Constraints" Pattern

"Refactor this component to extract the API call into a custom hook. Keep the hook in the same file for now. Maintain the exact same behavior and TypeScript types. Don't change any UI code."

Why it works: Constraints prevent the AI from "helpfully" rewriting your entire component when you just want one change.

3. The "Error-Context" Pattern

Instead of pasting an error and saying "fix this," try:

"I'm getting [error]. This happens when [action]. The relevant code is [file]. The API expects [format]. Fix the data transformation in the useEffect, not the API call itself."

Why it works: You're telling the AI exactly where the bug is. It doesn't have to guess.

4. The "Pattern Matching" Pattern

"Here's my existing ProductCard component. Create a similar ReviewCard component following the exact same patterns — same styling approach, same prop structure, same animation library. The data shape is: { rating: number, text: string, author: string, date: string }."

Why it works: Consistency across your codebase. The AI matches your existing conventions instead of inventing new ones.

5. The "Test-Driven Generation" Pattern

"Write a utility function that takes an array of transactions and returns: total spent, average transaction, highest single purchase, and spending by category. Here are 3 test cases with expected outputs: [paste test cases]. Make all tests pass."

Why it works: Test cases are unambiguous specs. The AI can verify its own output.

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These aren't theoretical — I use every one of these patterns daily and they've cut my development time by roughly 70%.

If you want to go deeper on AI-assisted mobile app development, check out the full course. 15 lessons, from zero to deployed app.