Background
Lemon AI's native code generation provides an ideal solution for developers who are often faced with duplicate code, time-consuming debugging, and the need for intelligent tools to improve development efficiency.
Efficiency Improvement Program
- Utilizing the code generation function: Directly describe the requirements (e.g., "Python crawler crawls e-commerce data"), the system can generate a format within 16K characters of standardized code.
- On-the-fly code optimization: Pasting existing code lets AI analyze optimization recommendations to improve readability and performance.
- Security Test Environment: The generated code can be tested and run directly in the sandbox to avoid polluting the development environment.
Specific workflow
1. Enter the mission description in the code module
2. Selection of local LLM model (DeepSeek-V3 recommended)
3. Get the generated code and copy it to a project or sandbox for testing.
4. Iterative optimization of code through the "edit" function
workaround
If the generated code does not fully meet the requirements, it can be used as a basic template for secondary development, compared to writing from scratch can still save 70% or more time.
This answer comes from the articleLemon AI: A Locally Running Open Source AI Intelligence Body FrameworkThe
May not be reproduced without permission:AI productivity tools " How to utilize Lemon AI in code development to improve programming efficiency?
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