Python Backend Generator is an AI-powered command-line tool that uses OpenAI GPT models to instantly scaffold robust Python backend projects from a single natural language prompt.
It’s perfect for rapid prototyping, MVPs, bootstrapping, learning, and hackathons.
- AI Code Generation: Converts your idea into a working backend using FastAPI, Flask, or Django.
- Project Templates: Choose from built-in project ideas or write your own description.
- Best Practices: Produces clean, idiomatic, production-style code.
- JWT Authentication: Built-in support for secure auth and user management.
- Database Integration: Choose SQLite, PostgreSQL, or MongoDB (auto-configured).
- Comprehensive Testing: Pytest-based unit & integration tests for all endpoints and logic.
- Docker Support: Auto-generates Dockerfile & Docker Compose for reproducible, containerized environments.
- Sandbox Automation: Runs the generated backend and tests inside Docker Compose, with API health checks.
- Verbose Logging: Every step is explained for easy troubleshooting and transparency.
- Git & Security Ready: Keeps your secrets safe, ignores bulky files, and is optimized for version control.
Sample CLI run, project generation, Docker Compose, and auto-testing in action.
# 1. Clone the repo
git clone https://github.com/Capybaralifestyle/Python-Backend-Generator.git
cd python-backend-generator
# 2. Setup Python environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# 3. Install requirements
pip install -r requirements.txt
# 4. Set your OpenAI API key (never commit your real key)
cp .env.example .env
# Edit .env and paste your OpenAI key
# 5. Run the generator!
python python-BE-generator.py