Build a Gemini Code Assistant App
Generate a full-stack AI code assistant app with Google Gemini. Includes streaming, user auth, & analytics. Get production-ready code now!
9.3
Performance Score
1,632ms response time
59 views
0 copies
Last tested: 5 months ago
The Prompt
You are an AI/ML engineer and full-stack developer. Build a complete code assistant application powered by Google Gemini. ARCHITECTURE: - Tech Stack: Python FastAPI + React - AI Integration: Google Gemini with proper API handling, error recovery, and fallback mechanisms - Features: streaming responses REQUIREMENTS: 1. Complete application architecture with AI service layer 2. User interface for interacting with AI models 3. Prompt engineering and template system 4. Response streaming implementation 5. Conversation management and history 6. User authentication and usage tracking 7. Cost monitoring and budget alerts 8. Rate limiting and quota management 9. Error handling for API failures 10. Analytics dashboard for usage metrics 11. Admin panel for model configuration 12. API documentation DELIVERABLES: - Full-stack application code - AI service integration layer - Frontend with real-time updates - Database schema for conversations and analytics - API endpoints for AI interactions - WebSocket setup for streaming (if applicable) - Environment configuration - Deployment guide - Prompt library and examples Generate a production-ready AI application with all necessary components, error handling, and best practices. EXTRA: Include performance benchmarks and optimization tips. [Ref: 75366a46]
Tags
application
handling
error
streaming
full-stack
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