🤖 Logora - AI Reasoning-First Coding Agent

An intelligent Flask web application that uses OpenAI’s GPT-4o-mini to break down coding requests into logical subtasks and generate production-ready code for each. Logora features a modern glassmorphism UI, dark mode toggle, and a comprehensive startup prompt library with 240+ curated project ideas, plus one-click deployment to Replit, Vercel, Heroku, and Bolt.new.

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✨ Features

• 🧠 Intelligent Task Decomposition – Breaks complex requests into clear subtasks

• 💻 AI-Powered Code Generation – Uses GPT-4o-mini for high-quality code

• 🎨 Modern Glassmorphism UI – Gradient cards, frosted glass styling

• 🌙 Dark Mode Toggle – LocalStorage persistence, smooth switching

• 📚 242+ Startup Prompts organized into categories:

  • 🚀 Startup Idea Starters (30)
  • 🤖 AI & SaaS Projects (42)
  • 🛒 E-Commerce & Marketplaces (100)
  • 🎨 AI Creative & Media (70)

• 📦 Project Export – Download generated code as a ZIP

• 💾 User Tracking – SQLite database for emails & roles

• ⚡ Deploy Anywhere – Ready for Replit, Vercel, Heroku, Bolt

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🚀 Quick Start

Local Development

# Clone repo
git clone https://github.com/yourusername/logora.git
cd logora

# Install dependencies
pip install -r requirements.txt

# Copy env vars
cp .env.example .env
# Add your OPENAI_API_KEY in .env

# Run the app
python app.py

# Open in browser
http://localhost:5000

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🔧 Environment Variables

.env file in project root:

OPENAI_API_KEY=your_openai_api_key_here
SESSION_SECRET=your_secret_key_here   # optional

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📦 Deployment

Deploy to Replit

• Click Run on Replit badge
• Add your OPENAI_API_KEY in 🔒 Secrets
• Hit Run

Deploy to Vercel

• Click Deploy with Vercel badge
• Add OPENAI_API_KEY in Environment Variables
• Deploy 🚀

Deploy to Heroku

• Click Deploy to Heroku badge
• Add OPENAI_API_KEY config var
• App boots automatically

Deploy to Bolt.new

• Copy repo to Bolt.new
• Add OPENAI_API_KEY in environment
• Done ✅

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🎯 How It Works

1. Enter a coding request (or click a starter prompt)
2. Logora decomposes it into subtasks
3. GPT-4o-mini generates production-ready code per step
4. Code is displayed + downloadable as ZIP

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🛠️ Tech Stack

Backend: Flask, OpenAI API, SQLite, dotenv Frontend: Tailwind CSS, Jinja2, Vanilla JS (dark mode toggle) Deployment: Replit, Vercel, Heroku, Gunicorn

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📂 Project Structure

logora/
├── app.py             # Main Flask app
├── templates/         # HTML templates (UI)
├── static/            # CSS & assets
├── users.db           # SQLite database
├── requirements.txt   # Python deps
├── Procfile           # Heroku config
├── vercel.json        # Vercel config
├── .env.example       # Environment example
└── README.md          # This file

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🎨 UI Features

• Glassmorphism cards with backdrop blur
• Gradient hero headline text
• Grid pattern background
• Responsive design (mobile-ready)
• Collapsible code blocks
• Smooth animations & hover states

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🔒 Security

• .env never committed
• Keys loaded via environment vars
• Friendly error message if OPENAI_API_KEY is missing

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🤝 Contributing

We welcome contributions:

• Add new startup prompts
• Improve UI/UX
• Add AI models/features
• Fix bugs

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📄 License

MIT License – Free for personal & commercial use.

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🙏 Credits

Built with ❤️ using Flask, GPT-4o-mini, Tailwind, and modern web tech.

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Happy Coding! 🚀