$ show SSSYoung/vibe-coding-mobile-engineering
This repository demonstrates the implementation of the A2UI (Agent-to-UI) protocol for building AI-powered mobile applications. It provides a complete example consisting of: 1) A Python A2A agent server (stock_lookup) that uses Google ADK to process user queries and generate structured UI responses, 2) A Flutter client (GenUIDemo) that connects to the agent via A2A protocol, parses A2UI messages, and renders them as native Flutter UI, and 3) Supporting documentation explaining the A2UI protocol, MCP integration, and AI-assisted engineering practices. The core innovation is the separation of concerns where AI agents generate declarative UI JSON that clients render natively, enabling rich interactions without executing arbitrary code. The repository includes reusable base classes for building A2UI agents that handle schema validation, event processing, and response formatting.
The LLM identified 2 files worth highlighting for reuse:
Provides a reusable base class for A2UI agents that handles schema validation, streaming responses with retry logic, and session management. Extractable to any A2UI agent implementation, demonstrating clean abstraction for handling A2UI protocol complexities.
Implements a reusable executor flow for processing A2A requests and UI events, converting button actions to queries, and parsing A2UI responses. Demonstrates clean separation of agent logic from protocol handling with generic event processing and response formatting.