mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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Removes the `Chat Prompt.txt`, `VSCode Agent/Prompt.txt`, `Warp.dev/Prompt.txt`, and `v0 Prompts and Tools/Prompt.txt` files. These files likely contain outdated prompts or configurations that are no longer needed in the current project. Removing them helps to clean up the codebase and prevent potential confusion or conflicts.
9.5 KiB
9.5 KiB
🚀 Nowhere Deployment Plan
Optimal Platform Analysis & Implementation Strategy
🎯 Recommended Platform: Cursor Plugin + Web Interface Hybrid
After analyzing the existing AI tools (Cursor, Devin AI, Manus, Windsurf, etc.), the optimal deployment strategy is a hybrid approach:
Why This Approach:
- ✅ Maximum Developer Adoption - Cursor is the most popular AI-powered IDE
- ✅ Voice Integration Ready - Web interface handles complex voice processing
- ✅ Scalable Architecture - Can expand to other IDEs later
- ✅ Best User Experience - Seamless integration with existing workflows
- ✅ Advanced Features - Full autopilot and adaptive learning capabilities
🏗️ Architecture Overview
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Cursor IDE │◄──►│ Nowhere Core │◄──►│ Web Interface │
│ (Plugin) │ │ (Backend) │ │ (Voice + UI) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ File System │ │ AI Models │ │ Voice APIs │
│ Integration │ │ (GPT-4.1+) │ │ (Speech/Text) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
📋 Implementation Roadmap
Phase 1: Core Backend (Week 1-2)
- Set up Node.js/TypeScript backend
- Implement Nowhere system prompt integration
- Create tool execution engine
- Set up memory system with Redis
- Implement adaptive learning algorithms
Phase 2: Cursor Plugin (Week 3-4)
- Create Cursor extension using their API
- Implement file system integration
- Add real-time code analysis
- Set up communication with backend
- Add autopilot mode integration
Phase 3: Web Interface (Week 5-6)
- Build React/TypeScript web app
- Integrate speech recognition APIs
- Add text-to-speech capabilities
- Create voice command interface
- Implement real-time collaboration
Phase 4: Voice Integration (Week 7-8)
- Connect Web Speech API
- Implement natural language processing
- Add voice command categories
- Set up voice response modes
- Test voice accuracy and reliability
Phase 5: Testing & Refinement (Week 9-10)
- End-to-end testing
- Performance optimization
- Security audit
- User feedback integration
- Documentation completion
🛠️ Technology Stack
Backend
- Runtime: Node.js with TypeScript
- Framework: Express.js with Fastify
- Database: Redis (memory), PostgreSQL (persistent)
- AI Models: OpenAI GPT-4.1+, Anthropic Claude 3.5 Sonnet
- Authentication: JWT with OAuth2
Cursor Plugin
- Language: TypeScript
- Framework: Cursor Extension API
- Communication: WebSocket for real-time updates
- File System: Cursor's file API integration
Web Interface
- Frontend: React 18 with TypeScript
- Styling: Tailwind CSS + Shadcn/ui
- Voice: Web Speech API + Azure Speech Services
- Real-time: Socket.io for live collaboration
- State: Zustand for state management
Deployment
- Backend: Vercel/Netlify Functions
- Database: Supabase (PostgreSQL + Redis)
- Voice Processing: Azure Cognitive Services
- CDN: Cloudflare for global distribution
🎙️ Voice Integration Strategy
Speech Recognition
// Web Speech API + Azure Speech Services
const speechRecognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
speechRecognition.continuous = true;
speechRecognition.interimResults = true;
speechRecognition.lang = 'en-US';
speechRecognition.onresult = (event) => {
const transcript = Array.from(event.results)
.map(result => result[0].transcript)
.join('');
// Process with Nowhere's NLP
processVoiceCommand(transcript);
};
Voice Command Categories
- Navigation: "Go to file", "Show me the main function"
- Execution: "Run tests", "Deploy to staging"
- Analysis: "Analyze this code", "Find performance issues"
- Creation: "Create new component", "Add authentication"
- Debugging: "Fix this error", "Optimize this function"
🔧 Development Environment Setup
Prerequisites
# Install Node.js 18+
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
nvm install 18
nvm use 18
# Install TypeScript globally
npm install -g typescript
# Install development tools
npm install -g @cursor/cli
npm install -g vercel
Project Structure
nowhere/
├── backend/ # Node.js API server
│ ├── src/
│ │ ├── core/ # Nowhere system prompt
│ │ ├── tools/ # Tool execution engine
│ │ ├── memory/ # Adaptive learning system
│ │ └── voice/ # Voice processing
│ └── package.json
├── cursor-plugin/ # Cursor extension
│ ├── src/
│ │ ├── extension.ts # Main extension logic
│ │ ├── commands/ # Voice command handlers
│ │ └── utils/ # Helper functions
│ └── package.json
├── web-interface/ # React web app
│ ├── src/
│ │ ├── components/ # UI components
│ │ ├── hooks/ # Custom React hooks
│ │ ├── services/ # API integration
│ │ └── voice/ # Voice interface
│ └── package.json
└── shared/ # Shared types and utilities
├── types/
└── constants/
🚀 Quick Start Implementation
Step 1: Backend Setup
# Create backend directory
mkdir nowhere-backend && cd nowhere-backend
# Initialize Node.js project
npm init -y
# Install dependencies
npm install express typescript @types/node
npm install redis pg @types/redis @types/pg
npm install openai @anthropic-ai/sdk
npm install socket.io cors helmet
# Install dev dependencies
npm install -D ts-node nodemon @types/express
Step 2: Core Nowhere Integration
// backend/src/core/nowhere.ts
import { readFileSync } from 'fs';
import { join } from 'path';
export class NowhereCore {
private systemPrompt: string;
constructor() {
this.systemPrompt = readFileSync(
join(__dirname, '../../../prompts/system_prompt.md'),
'utf-8'
);
}
async processCommand(command: string, context: any) {
// Implement Nowhere's processing logic
return {
response: "Nowhere processed your command",
actions: [],
memory: {}
};
}
}
Step 3: Voice Integration
// web-interface/src/hooks/useVoice.ts
import { useState, useEffect } from 'react';
export const useVoice = () => {
const [isListening, setIsListening] = useState(false);
const [transcript, setTranscript] = useState('');
const startListening = () => {
const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
recognition.continuous = true;
recognition.interimResults = true;
recognition.onresult = (event) => {
const transcript = Array.from(event.results)
.map(result => result[0].transcript)
.join('');
setTranscript(transcript);
};
recognition.start();
setIsListening(true);
};
return { isListening, transcript, startListening };
};
🎯 Success Metrics
Performance Targets
- Voice Recognition Accuracy: >95%
- Command Processing Speed: <500ms
- Memory Retrieval: <100ms
- Tool Execution: <2s average
User Experience Goals
- Task Completion Rate: >90%
- User Satisfaction: >4.5/5
- Time Savings: 50% reduction in coding time
- Error Reduction: 70% fewer debugging sessions
🔒 Security & Privacy
Data Protection
- Voice Data: Encrypted in transit and at rest
- Code Analysis: Local processing when possible
- Memory Storage: User-controlled retention policies
- API Keys: Secure environment variable management
Access Control
- Authentication: OAuth2 with JWT tokens
- Authorization: Role-based access control
- Rate Limiting: Prevent abuse and ensure fair usage
- Audit Logging: Track all system interactions
📈 Future Enhancements
Phase 6: Advanced Features
- Multi-user collaboration
- Advanced analytics dashboard
- Custom voice training
- Integration with more IDEs
Phase 7: Enterprise Features
- Team management
- Advanced security features
- Custom deployment options
- White-label solutions
This deployment plan provides the optimal path to bring Nowhere to life as the most advanced AI coding assistant with voice integration and autonomous capabilities.