The worst part of a bug is not fixing it. It is the twenty minutes you spend re-reading the same error message before you understand a word of it. These five ChatGPT prompts shorten that loop. They turn a cryptic error into an explanation, a cause, and a fix you can test. Paste your error and the surrounding code, swap the brackets, and work through it one step at a time.
What to know before you paste
- Paste the full error text and the code around it. A trimmed error hides the line that matters.
- Name your language and version. A fix for the wrong setup wastes a round trip.
- List what you already tried. Otherwise the model repeats the first thing you did.
The prompts
1. Explain this error message
Explain this error in plain English: [error_message]. I am working in [language_and_version]. Tell me what the message means, why it usually appears, and the first thing to check.What it does: Translates a raw error into a cause you can act on.
How to use: replace [error_message] and [language_and_version]; paste the full trace, not just the last line.
2. Reproduce the bug step by step
Here is the code: [code_block]. It fails when [trigger_condition]. List the steps to reproduce the failure reliably, then name the two most likely causes.What it does: Pins down the trigger so the bug stops being intermittent.
How to use: replace [code_block] and [trigger_condition]; include the input that breaks it.
3. Trace the cause from a stack trace
Walk through this stack trace line by line: [stack_trace]. For each frame, say what the function is doing and where the failure likely starts in [module_name].What it does: Reads the trace with you instead of jumping to a guess.
How to use: replace [stack_trace] and [module_name]; keep the trace unedited so the line numbers stay valid.
4. Propose a fix with a test
For this bug in [file_name]: [code_block], suggest a fix and write a small test that would catch it. Explain the change in one sentence and note any side effects.What it does: Gives you a fix plus a test, so the bug stays fixed.
How to use: replace [file_name] and [code_block]; run the test before you trust the fix.
5. Explain the fix like a senior engineer
Explain this fix for [language] as a senior engineer would review it: [proposed_fix]. Cover why it works, what could still break, and one alternative approach.What it does: Turns a working fix into understanding, so you spot the next bug faster.
How to use: replace [language] and [proposed_fix]; ask follow-up questions about any line you do not follow.
FAQ
Can ChatGPT fix my bug directly? It can suggest a fix, but you still have to run and test it. Treat every answer as a hypothesis, not a solved problem.
What should I paste into the prompt? The full error, the code around the failing line, your language version, and what you already tried. More context means fewer wrong guesses.
Why does the first answer not work? The model is guessing from partial input. Add the exact error text and the input that triggers it, then ask again.
Can I debug without sharing my code? You can describe the behavior and the error, but the answers get vaguer. Share the smallest snippet that still shows the problem.
Which errors work best with these prompts? Clear messages and stack traces work best. For silent failures, use the reproduce prompt and describe what you expected to happen.
Keep going
- More coding prompts
- ChatGPT prompts for code reviews
- Claude prompts for Python scripts
- Claude prompts for React components
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