Exploring the magic and limitations of ChatGPT in generating Python code for acoustic design - Day 5

Day 5: Writing effective prompts for coding

Task: Divide the audience plane into segments and assign colours from a colour palette based on the received percentage of sound power

The following is a summary of the prompts I found useful for coding. They have been frequently employed in creating the Grasshopper components for the task demonstrated in the video:

1. For finding structures and functions: Create a structure template to achieve this objective.

2. For better understanding of function usage: What is the purpose of this function?

3. For debugging: What is the issue with this code?

4. For code optimization: Simplify this code.

5. For code optimization: Refactor this code to improve efficiency.

6. For code optimization: Is there a more effective approach to achieve the desired outcome?

7. For code testing: Test this function using 5 cases.

8. For code documentation: Include a detailed and high-quality docstring for the code below.

9. For code documentation: Provide an explanation for this code to document its functionality.