Basic flow of code generation using Gen CLI:
- Start the Gen CLI in a terminal (run npm start)
- Enter the development requirements for natural language descriptions
- Specify output directory (optional)
- Get the generated code
The specific sample commands are as follows:
- Generate Django applications:
gen > Creating a Python Django application with DeepSeek, including user authentication - Creates a React component and specifies where to save it:
gen > Create a React component using DeepSeek, save to . /components
Generated code features:
- Includes full structure and annotations
- Follow common development norms and best practices
- Can be run directly or used as a starting point for development
For complex requirements, step-by-step generation is recommended to ensure the quality of each functional module. In addition, the generated code should be manually reviewed and tested before it is used in the production environment.
This answer comes from the articleGen CLI: Gemini CLI-based fork with DeepSeek code generation and automated workflowThe
May not be reproduced without permission:AI productivity tools " How to use Gen CLI for code generation? Can you give specific examples?
