operations. It runs on Android, iOS, Web, Linux, and Windows, using Flutter for the frontend and Moqui for the backend. Comprehensive documentation and support are available at [https://www.growerp.com
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integration without CopilotKit middleware
- **FastAPI Backend**: Standard REST API with CORS configuration for frontend origins
### External Services
- **Google ADK**: Core agent framework with Gemini models
- **CopilotKit**: React component library
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Instructions for openmrs-esm-core
## Repository Overview
This is the **OpenMRS 3.x (O3) Frontend Core** monorepo. It contains the core framework libraries, app shell, tooling, and foundational frontend modules
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Characteristics
- **Platform**: macOS-first with Apple Silicon (M1/M2/M3/M4) optimization
- **Architecture**: Flask backend + React/TypeScript frontend
- **AI/ML Focus**: Heavy use of PyTorch with MPS (Metal Performance Shaders) acceleration
- **Deployment**: Both source-based
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Nestarr – Copilot Instructions
## Commands
### Frontend
```bash
npm run dev # Dev server on :5173
npm run build # Production build → dist/
npm run preview # Preview production build
```
### Backend tests
```bash
# All backend
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용도**: 개인 호스팅 미디어 서버 (만화책/웹툰 관리)
- **기술 스택**:
- Backend: Go (Fiber) + SQLite
- Frontend: React (Vite) + TypeScript
## 리뷰 스타일
- 간결하고 명확하게
- 개선 제안은 구체적인 코드 예시와 함께
- 접근성, 성능
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Frontend Masters Fullstack Next.js Wiki - Barebones Starter
This is a **minimal, educational wiki app** built for Frontend Masters students. The app should be barebones, readable, and focus on core concepts
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async-first Python framework for building Home Assistant automations. Python 3.11–3.14. The frontend is React + TypeScript + Vite, styled with Tailwind CSS v4 and shadcn/ui.
Core components: App (user automations
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config
- Support for A/B testing with customer targeting
- HTTP context integration for web scenarios
- Frontend feature handling with automatic partner/platform header processing
### Modern Telemetry
- Migration from EventSource to OpenTelemetry metrics
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