A solution to the imprecision of AI-generated code
When using AI Code Editor and encountering generated code that does not meet expectations, you can take the following steps:
- Optimize input description: Provide more specific natural language instructions, including input/output examples, boundary conditions, etc. (e.g., "Write a file-reading function in Python that handles UTF-8 encoding and file-not-existing exceptions.")
- Choosing the right modelOpus Works for complex logic, Sonnet Poetry for routine development, and Haiku for fast tasks.
- Step-by-step generation: Break down large functions into small steps and generate them one by one.
- Use of modifiers:: Add requirements such as "efficient realization" and "production environment level".
- Subsequent editing: Utilize the real-time code analysis feature (red/yellow highlighting) and the fix suggestions in the right panel
If multiple attempts are not resolved:
1. Click on "Feedback" to submit a specific question.
2. Search for similar cases in community forums
3. Consider upgrading to the Pro/Max program for higher quality generation
This answer comes from the articleAI Code Editor: Code Generation and Optimization Tool for Unofficial Claude Code SuitesThe
May not be reproduced without permission:AI productivity tools " How to solve the problem that the code generated in AI Code Editor does not meet the requirements?
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