This is a submission for the AI Challenge for Cross-Platform Apps - AI Acceleration
What I Built
My application is an online-store–style delivery app. It showcases the full user flow—from logging in, browsing stores and their products, all the way through to completing a card payment—all using mock data
Demo
Login Screen:
Stores Screen:
Single Store Screen:
Categories Screen:
Product Configuration Screen
Checkout Screen:
Payment Method Screen:
Delivery Address Selection:
Add New Address Screen:
AI Tooling in Action
Gathering all the necessary information from the documentation to create the screens as accurately as possible.
Performing error checks and correcting them properly.
Running the app automatically to verify proper execution and the correctness of the screens.
Using App MCP and Uno Platform MCP
Uno’s MCP servers helped me speed up the development of the application—not only by providing best-practice guidance and the code needed for implementation, but also by assisting me in troubleshooting issues I encountered along the way. Something I didn’t expect was their ability to perform ‘automatic debugging,’ meaning they could automatically test the app’s content and functionality, which significantly accelerated the development process
Cross-Platform Reach
Of the ones I was able to test: Android, Windows, and WebAssembly, although it should work on all the others as well
Development Experience
What surprised me the most was the ability to automatically fix errors by selecting, clicking, and interacting with UI elements on its own, which greatly speeds up development. I was also impressed that the interfaces were created almost perfectly on the first try, and the few that weren’t—such as overlapping elements or screens missing data—were automatically corrected as well
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