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ChatGPT Prompts for Coding

ChatGPT can write code, but without the right prompt, you'll spend more time fixing its output than if you'd written it yourself. These templates show you how to prompt ChatGPT for debugging, tests, refactoring, and explanations—with context and constraints that keep the AI on track.

Last updated · By the Prompt Orange team

Prompt examples you can copy & use

Debug a function

Before

Fix my code

Too vague—AI has to guess what you want

After

Debug this JavaScript function that's supposed to calculate the average of an array but returns NaN. Code: [paste code]. Explain the bug in plain English, then provide the corrected version with inline comments.

Specific, clear, ready to use

Write tests

Before

Write tests for this

Too vague—AI has to guess what you want

After

Write Jest unit tests for the following React component [paste component]. Cover: rendering, user interactions, edge cases (null props, empty state). Use describe/it blocks and Testing Library. Aim for 85%+ coverage.

Specific, clear, ready to use

Explain code

Before

What does this do?

Too vague—AI has to guess what you want

After

Explain the following TypeScript file [paste code] to a junior developer. Focus on: what problem it solves, how the main function works, and any non-obvious patterns used. Use simple language and avoid jargon.

Specific, clear, ready to use

Refactor for readability

Before

Make this cleaner

Too vague—AI has to guess what you want

After

Refactor the following function [paste code] for readability. Goals: clear variable names, extract magic numbers into constants, add helpful comments. Do not change functionality. Explain what you changed and why.

Specific, clear, ready to use

Tips for using ChatGPT for coding

Always paste the full error message and stack trace when debugging

Specify the language, version, and framework (e.g., 'React 18', 'Node.js 20')

Ask for explanations alongside code fixes to learn why something broke

Set constraints like 'do not rewrite the entire file' to avoid scope creep

Request inline comments for complex logic so you understand the code later

Frequently asked questions

What's the best way to prompt ChatGPT for coding?

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Set a clear role for ChatGPT ("you are a senior copywriter / engineer / analyst…"), describe the situation in two or three sentences, then list the constraints — length, tone, format, things to avoid. The example prompts above follow this pattern exactly.

Why does ChatGPT produce different output every time?

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ChatGPT samples from a probability distribution, so identical prompts can produce different results. Reduce variance by being more specific: name the audience, the format, and at least one example of what "good" looks like. The more constrained the prompt, the more consistent the output.

Do I need a paid plan for ChatGPT?

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The free tier of ChatGPT is enough to test these prompts. Paid plans help with longer context windows and faster response times, but the prompt structure itself is identical on free and paid plans.

Can I use these prompts on Claude or Gemini instead?

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Yes — these prompt structures port cleanly across modern LLMs. Claude tends to follow long prompts more faithfully; Gemini handles browse-and-cite tasks well. The structure shown here works on all of them.

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