🚀 VibeDoc: Your AI Product Manager & Architect

✨ Why VibeDoc?

As a developer, product manager, or entrepreneur, you face these challenges:

• 💭 Great Ideas, No Plan? You have ideas but don't know how to turn them into actionable development plans
• ⏰ Documentation Takes Forever? Writing technical specs and architecture docs consumes massive time
• 🤖 AI Tools Confusing? You want AI-assisted coding but struggle with effective prompt engineering
• 📊 Missing Professional Diagrams? You need architecture, flow, and Gantt charts but lack design tools expertise

VibeDoc Solves Everything!

🎯 Core Features

📋 Intelligent Development Plan Generation

Enter your product idea - AI generates a complete plan in 60-180 seconds:

• Product Overview - Background, target users, core value proposition
• Technical Solution - Tech stack selection, architecture design, technology comparison
• Development Plan - Phased implementation, timeline, resource allocation
• Deployment Strategy - Environment setup, CI/CD pipeline, operations monitoring
• Growth Strategy - Market positioning, operations advice, growth tactics

🤖 AI Coding Prompt Generation

Generate ready-to-use prompts for each feature module, supporting:

• ✅ Claude - Code generation, architecture design
• ✅ GitHub Copilot - Intelligent code completion
• ✅ ChatGPT - Technical consultation, code optimization
• ✅ Cursor - AI-assisted programming

📊 Auto-Generated Visual Diagrams

Professional diagrams using Mermaid:

• 🏗️ System Architecture - Component relationships visualization
• 📈 Business Flowcharts - Business logic visualization
• 📅 Gantt Charts - Project timeline at a glance
• 📊 Tech Comparison Tables - Technology decision reference

📁 Multi-Format Export

One-click export for different scenarios:

• Markdown (.md) - Version control friendly, GitHub display
• Word (.docx) - Business documents, project reports
• PDF (.pdf) - Formal proposals, print archives
• HTML (.html) - Web display, online sharing

💡 Real-World Example

Input Idea

Develop an AR sign language translation app that can translate sign language
into voice and text in real-time, and also translate voice and text into
sign language gestures displayed in AR

Generated Output

📄 View Complete Development Plan (10,000+ words)

The AI-generated plan includes:

1. Product Overview

• Target users (deaf community, healthcare workers, educators)
• Core features (real-time translation, multi-language support, AR visualization)
• Market positioning and competitive analysis

2. Technical Architecture

Complete system architecture with Mermaid diagrams showing:

• User interface components
• Backend services
• ML model integration
• Database design
• AR rendering pipeline

3. Technology Stack

• Frontend: React Native (cross-platform)
• Backend: Node.js + Express
• ML Models: TensorFlow for sign language recognition
• NLP: spaCy for natural language processing
• AR: ARKit (iOS) / ARCore (Android)
• Database: MongoDB

4. Development Timeline

6-month plan with 3 major milestones:

• Month 1-2: Core recognition & translation engine
• Month 3-4: AR integration & UI development
• Month 5-6: Testing, optimization & deployment

5. 12+ AI Coding Prompts

Ready-to-use prompts for each module. Example:

Feature: Hand Gesture Recognition Model

Context:
Building a real-time hand gesture recognition system for sign language translation.
Need to detect and classify hand positions, movements, and facial expressions.

Requirements:
- Process video frames at 30+ FPS
- Recognize 500+ sign language gestures
- Support continuous gesture sequences
- Handle varying lighting conditions

Tech Stack:
- TensorFlow/Keras for model training
- MediaPipe for hand landmark detection
- OpenCV for image preprocessing

Constraints:
- Must run on mobile devices (iOS/Android)
- Model size < 50MB for mobile deployment
- Inference time < 100ms per frame

Expected Output:
- Model architecture code
- Training pipeline
- Data preprocessing functions
- Mobile optimization strategies

🚀 Quick Start

🌐 Online Demo (Recommended)

👉 Try VibeDoc Now - No installation required!

Experience the full functionality:

1. Enter your product idea (e.g., "Build a smart fitness app")
2. Optionally add reference URLs for context
3. Click generate and wait 60-180 seconds
4. Get complete development plan with AI coding prompts
5. Export to Markdown/Word/PDF/HTML formats

💻 Local Installation

Prerequisites

• Python 3.11+
• pip package manager
• SiliconFlow API Key (free to obtain)

Installation Steps

# 1. Clone the repository
git clone https://github.com/JasonRobertDestiny/VibeDoc.git
cd VibeDoc

# 2. Create virtual environment (recommended)
python -m venv venv

# Activate virtual environment
# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Configure environment variables
cp .env.example .env
# Edit .env file and add your API Key

Configuration

In .env file:

# Required: SiliconFlow API Key (free registration)
SILICONFLOW_API_KEY=your_api_key_here

# Optional: Advanced Configuration
API_TIMEOUT=300
LOG_LEVEL=INFO
ENVIRONMENT=production

Run Application

python app.py

Application starts at:

• Local: http://localhost:7860
• Network: http://0.0.0.0:7860

🐳 Docker Deployment (Optional)

# Build image
docker build -t vibedoc .

# Run container
docker run -p 7860:7860 \
  -e SILICONFLOW_API_KEY=your_key \
  vibedoc

🏗️ Technical Architecture

Modular architecture design:

┌─────────────────────────────────────────┐
│         Gradio Web Interface            │
│   (User Interaction + UI + Export)      │
└─────────────────┬───────────────────────┘
                  │
┌─────────────────▼───────────────────────┐
│       Core Processing Engine            │
├─────────────────────────────────────────┤
│  • Input Validation & Optimization      │
│  • AI Generation Coordination           │
│  • Content Quality Control              │
│  • Multi-format Export                  │
└──┬────────┬──────────┬─────────┬────────┘
   │        │          │         │
   ▼        ▼          ▼         ▼
┌──────┐ ┌────────┐ ┌──────┐ ┌──────────┐
│ AI   │ │Prompt  │ │Content│ │Export    │
│Model │ │Optimizer│ │Validator│ │Manager   │
└──────┘ └────────┘ └──────┘ └──────────┘

Technology Stack

• Frontend: Gradio 5.34.1 - Fast AI app interface
• AI Model: Qwen2.5-72B-Instruct - Alibaba Cloud
• Chart Rendering: Mermaid.js - Code-based diagrams
• Document Export: python-docx, reportlab
• Async Processing: asyncio, aiofiles

📊 Performance Metrics

🎨 Use Cases

👨‍💻 Developers

• ✅ Validate technical feasibility quickly
• ✅ Generate project documentation
• ✅ Get AI coding prompts
• ✅ Learn architecture best practices

📊 Product Managers

• ✅ Transform requirements into technical solutions
• ✅ Create project planning documents
• ✅ Estimate development cycles
• ✅ Build project proposals

🎓 Students & Learners

• ✅ Learn software development best practices
• ✅ Understand architecture design
• ✅ Prepare for technical interviews
• ✅ Plan graduation projects

🚀 Entrepreneurs

• ✅ Validate product ideas quickly
• ✅ Generate technical plans for investors
• ✅ Plan MVP development
• ✅ Assess implementation costs

🤝 Contributing

We welcome all contributions:

• 🐛 Report Bugs
• 💡 Suggest Features
• 📝 Improve Documentation
• 🔧 Submit Code

Steps

1. Fork this project
2. Create feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add AmazingFeature')
4. Push to branch (git push origin feature/AmazingFeature)
5. Submit Pull Request

See CONTRIBUTING.md for details.

💬 Join Community

Join the VibeDoc community to share experiences, get support, and discuss ideas!

**Scan to Join VibeDoc Community** Share Experiences | Get Support | Join Discussions

📝 Documentation

• User Guide - Detailed instructions
• Technical Docs - Architecture & development
• Deployment Guide - Production deployment
• Security Policy - Security best practices

🎯 Roadmap

v2.1 (Planned)

• [ ] More AI models (GPT-4, Claude, etc.)
• [ ] Team collaboration features
• [ ] Version management
• [ ] Online editor

v2.2 (Planned)

• [ ] Mobile support
• [ ] Multi-language (English, Japanese)
• [ ] Template marketplace
• [ ] API interface

🙏 Acknowledgments

• Qwen2.5-72B-Instruct by Alibaba Cloud
• Gradio team
• SiliconFlow API services
• All contributors and users ❤️

📄 License

MIT License

📞 Contact

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [email protected]
• Demo: Bilibili

⭐ Star History

If this project helps you, give us a Star ⭐!