Zero to Launch: Build and Ship a Mobile App with Claude Code

Building a mobile app no longer requires typing every line of code by hand.

Modern AI coding agents can dramatically accelerate development, but there is an important difference between blindly accepting AI-generated code and using AI as part of a disciplined engineering workflow.

In Zero to Launch, I teach an AI-first approach to building a real full-stack mobile application with Claude Code, Expo, React Native, Supabase, and TypeScript.

The goal isn't simply to generate an app.

It's to build software that you understand, can maintain, test, improve, and eventually monetize.

What We're Building

Throughout the course, we build Flow State, a productivity and deep-work mobile app.

The app allows users to:

• Set long-term goals
• Use AI to break goals into milestones and habits
• Track daily habits
• Run Pomodoro-style focus sessions
• Associate deep-work time with specific goals
• Visualize progress with charts and heat maps
• Persist data to a backend
• Run on both iOS and Android from a single codebase

Instead of building a small tutorial project, the course walks through the process of developing a production-style application from idea to deployment.

The Tech Stack

The project uses a modern full-stack mobile development stack:

• TypeScript for application code
• React Native for cross-platform mobile development
• Expo for the React Native framework and deployment tooling
• Expo Router for file-based navigation
• Supabase for authentication, PostgreSQL, storage, and server-side functions
• TanStack Query for fetching, caching, and managing server state
• React Hook Form + Zod for forms and validation
• Jest + React Native Testing Library for automated testing
• Claude Code as the AI coding agent

Expo allows us to build both the iPhone and Android applications from a single codebase while still having access to native functionality and deployment tools.

Vibe Coding vs. Agentic Engineering

One of the most important ideas in the course is the difference between vibe coding and agentic engineering.

With vibe coding, you describe what you want and largely accept whatever the AI produces.

That can work for prototypes, but it becomes risky when you're building software that needs to be maintained and improved over time.

Agentic engineering takes a different approach.

The AI can still perform much of the implementation, but you remain responsible for the architecture, requirements, quality, testing, and correctness.

Instead of asking the AI to blindly build an entire feature, we provide detailed requirements and implement features through a repeatable engineering process.

The 8-Step AI Development Workflow

The course follows an eight-step workflow whenever we build a new feature.

1. Plan

Describe the feature and its requirements in plain English.

2. Describe

Turn the plan into a detailed specification file.

The specification becomes both instructions for the coding agent and documentation for the project.

3. Load

Load the specification into Claude Code's context so it understands exactly what needs to be implemented.

4. Start

Create a development branch and begin implementing the feature step by step.

5. Review

Review the implementation against the original specification and identify anything that was missed or implemented incorrectly.

6. Test

Generate automated tests to verify the feature and protect against future regressions.

7. Explain

Have Claude Code explain what changed so you understand the implementation before committing it.

8. Complete

Commit the feature, merge it into the main branch, and clean up the development branch.

AI writes much of the code, but the engineering discipline remains.

Why Understanding the Code Still Matters

AI coding agents dramatically lower the barrier to building software.

That doesn't eliminate the need to understand programming.

Knowing JavaScript, React, databases, APIs, Git, testing, and software architecture gives you the vocabulary required to communicate effectively with an AI coding agent.

It also lets you evaluate whether the generated implementation is actually good.

The goal isn't to memorize every API or syntax rule.

The goal is to understand enough software engineering to direct the AI, evaluate its output, and make informed technical decisions.

From Idea to App Store

Zero to Launch follows the complete lifecycle of building an application.

The course is divided into several major phases.

Plan

We begin with:

• Market research
• Idea validation
• Product requirements
• AI-assisted development workflows
• UI and UX planning

Foundation

Next, we establish the technical foundation:

• Expo project setup
• TypeScript
• Navigation architecture
• Design systems
• Light and dark themes

Backend and Data

Then we build the application's backend:

• Supabase
• PostgreSQL
• Authentication
• Data modeling
• TanStack Query
• Automated testing

Features

With the foundation established, we build the actual product:

• Goals
• Milestones
• Habits
• AI-generated plans
• Pomodoro focus sessions
• Charts and progress tracking
• Settings and account management

Ship

Finally, we prepare the application for production and learn how to:

• Build the application
• Sign releases
• Create production builds
• Submit to the Apple App Store
• Submit to Google Play

The objective is to understand the entire path from an idea to a real application people can download.

Two Ways to Take the Course

There are two approaches you can use.

Build Along

Follow each lesson while applying the concepts to your own application.

This approach takes longer, but you finish the course while simultaneously building your own product.

Watch First, Build Second

You can also watch the course from beginning to end to understand the entire process.

Afterward, use the included MVP workbook as a step-by-step guide for building your own application.

The workbook organizes the development process into a roughly 30-day roadmap.

Building Is Only the Beginning

Shipping an application doesn't guarantee that anyone will use it.

After development comes:

• Monetization
• Analytics
• Organic content marketing
• User-generated content
• Influencer marketing
• Paid advertising
• Funnel optimization
• Email marketing
• Retention and growth

That's why Zero to Launch is only the first part of the broader StevenCodeCraft roadmap.

The long-term goal is to teach the complete process of building, monetizing, marketing, and growing an application.

Final Thoughts

AI has made building software faster and more accessible than ever.

But the developers who get the most value from these tools won't simply ask AI to generate an entire application and hope that it works.

They'll know how to provide good requirements, structure projects, review implementations, test their software, and iterate based on real customer feedback.

That's the workflow I teach in Zero to Launch.

Use AI to move faster.

But continue thinking like an engineer.

And most importantly:

Get started, keep going, and ship something real.