Converting a Website to a Native App with AI Agents

Fazm Team··2 min read

Converting a Website to a Native App with AI Agents

The pitch sounds great - point an AI agent at your website and get a native app. The reality is more nuanced, but AI agents genuinely accelerate the web-to-native migration in ways that were not possible a year ago.

What AI Agents Handle Well

Component mapping - An agent can read your React components and generate equivalent React Native or SwiftUI views. Layout primitives translate reasonably well. A flex container becomes a VStack or HStack. Buttons, text inputs, and lists have direct native equivalents.

Style extraction - Colors, fonts, spacing values, and design tokens can be pulled from your CSS and converted to native style systems. The agent reads your theme file and generates a native equivalent.

API layer - If your web app talks to a REST API, the agent can generate the same networking code for the native app. This is mostly mechanical translation and agents handle it reliably.

Where It Breaks Down

Navigation - Web routing and native navigation are fundamentally different paradigms. Tab bars, stack navigators, and modal presentations do not map cleanly from URL-based routing. This requires architectural decisions an agent should not make alone.

Platform features - Push notifications, camera access, biometrics, and local storage all need platform-specific implementations. The agent can scaffold them, but getting the details right - especially around permissions and lifecycle - needs human review.

Performance - A web app rendered in a WebView is not a native app. Real native performance requires understanding platform-specific optimization patterns that agents sometimes miss.

The Practical Approach

Use the agent for the mechanical parts - component conversion, style extraction, API client generation. Handle navigation architecture, platform integration, and performance optimization yourself. The agent saves weeks of tedious translation work while you focus on the decisions that matter.

The best results come from running the agent in stages rather than asking for a complete conversion at once. Convert one screen, verify it, then move to the next.

Fazm is an open source macOS AI agent. Open source on GitHub.

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