This is a submission for the AI Challenge for Cross-Platform Apps — AI Acceleration.
🚀 What I Built
I built Smart Café, a cross-platform coffee shop app powered by Uno Platform and .NET. The app fetches menu items dynamically and allows users to favorite drinks and customize their brew.
To keep the project simple and accessible, I used the JSON Placeholder API to simulate menu data.
🎥 Demo
🔗 GitHub repository:
📱 Screenshots / video:
- Android
- Windows
- WebAssembly
(Add screenshots below this section)
🤖 AI Tooling in Action (Required)
I used AI tools throughout development:
- GitHub Copilot for scaffolding pages
- Claude Code for binding + MVVM guidance
- ChatGPT for animations and state logic
Screenshots / recordings to include:
- Copilot generating XAML layouts
- Copilot or Claude suggesting class structure and view models
(Upload 2–3 images here — judges heavily reward visual proof)
🔌 Using App MCP and Uno Platform MCP
Uno Platform MCP helped with:
- Generating context-aware XAML snippets
- Resolving binding issues
- Suggesting layout optimizations
App MCP enabled the AI tools to “see” the application context and offer fixes that matched the actual running app — not generic suggestions.
🌍 Cross-Platform Reach
The app runs successfully on:
- Android
- Windows
- WebAssembly
I plan to extend support to macOS and Linux next.
💡 Development Experience
The biggest surprise was how quickly I could build feature-complete pages using AI:
- Layouts were generated in seconds
- Bindings were fixed without debugging for hours
- Repetitive code was eliminated completely
Instead of getting slowed down by UI and data boilerplate, I could focus on the creative side of the application.
I walked away convinced that context-aware AI coding + Uno Platform is an unstoppable combination for fast and productive cross-platform development.
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