Native development doesn't have to be slow. Use AI to handle boilerplate, state, and UI while you focus on the core experience.
Deep dives into the frameworks and tools for shipping native apps.
Stop dumping the whole app. Learn how to feed AI specifically what it needs for SwiftUI View modifiers or React Native Styles.
Go from screenshot to functional mobile UI component in seconds. Bridging the gap between web prototypes and native code.
Delegating complex state machines and async data fetching to AI without introducing race conditions.
Using DALL-E and Midjourney within your workflow to generate production-ready app icons and onboarding illustrations.
Handling the "hard parts"—Camera, Bluetooth, and Geolocation APIs—by letting AI write the bridge boilerplate.
Automating Fastlane and GitHub Actions for mobile deployments using AI-assisted shell scripting.

I built and shipped mac-pet.com and fitdm.io using these exact techniques. AI didn't just help me code—it helped me handle the design, assets, and deployment of native applications as a solo developer.
Both. The mental models for context control and state management with AI are tool-agnostic. We provide examples for SwiftUI, React Native, and Kotlin.
This course assumes you are an experienced developer. If you know web dev, we'll show you how to leverage AI to bridge the gap into mobile development rapidly.
Yes! We cover using AI to draft App Store descriptions, keywords, and debugging those cryptic rejection messages from Apple/Google.
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