Situatie
When using AI tools like ChatGPT to generate code, it’s common to get solutions that are longer or more complex than necessary. This happens because the AI often tries to cover all possibilities unless guided otherwise.
For example, a basic prompt might be:
Write a Python script to check if a website is online. While this works, the AI may produce extra functions, complicated error handling, or unnecessary libraries.
Solutie
Step 1 – Identify your Requirements
Before writing the prompt, decide:
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Which programming language to use
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Which libraries are allowed
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Any constraints on code length or complexity
This gives you clarity and makes your prompt more precise.
Step 2 – Add Constraints to the Prompt
Include the constraints directly in your prompt. For example:
Write a simple Python script that checks if a website is online.
Use only the requests library and keep the script under 20 lines.
Now the AI knows exactly what is expected and can produce a concise, practical solution.
Step 3 – Review and Refine
After generating the code, quickly review it for:
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readability
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adherence to constraints
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correctness
If necessary, update your prompt to clarify any missed requirements.
Step 4 – Apply and Reuse
With clear constraints, the generated code is easier to read, test, and integrate into your projects. You can reuse this technique for any coding task, from scripts to small automation tools.
By guiding the AI with simple constraints, you can consistently generate clean, practical, and usable code instead of long, confusing solutions.
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