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Debugging · Bugs · Code fixes

How to Use AI to Fix Bugs in Code

Debugging is where experienced developers spend a disproportionate amount of their time -- and AI has made it dramatically faster. Instead of staring at code waiting for the problem to reveal itself, you can paste it into AI with the error message and a description of what is happening, and get a diagnosis in seconds. AI is particularly good at spotting the kinds of bugs that are hardest for humans to see: off-by-one errors, subtle type mismatches, incorrect assumptions about how a library works, and logic errors that are invisible until you look at the code from a completely fresh perspective. It is not infallible -- complex bugs in large codebases often require more context than you can paste -- but for the majority of bugs most developers encounter, it is faster than any alternative.

5 Best Prompts for Fixing Bugs to Ask Claude or ChatGPT

Copy any prompt below and paste it directly into your AI of choice.

  1. Prompt 01 · Debug with an error message

    "Here is my code: [paste code]. Here is the error message I am getting: [paste exact error]. Here is what the code is supposed to do: [describe]. Can you identify the bug, explain why it is causing this error, and give me the corrected code?"

    Best for: the most common debugging scenario -- an error you can see but cannot interpret.

  2. Prompt 02 · Fix logic that produces wrong output

    "Here is my code: [paste code]. It runs without errors but it is producing [wrong output] instead of [correct output]. Here is an example: input [X] is producing [Y] but should produce [Z]. Can you find the logic error and fix it?"

    Best for: bugs that are worse than errors -- silent failures that produce wrong results without telling you anything is wrong.

  3. Prompt 03 · Isolate which part is broken

    "I have a piece of code that is not working: [paste]. It is part of a larger system. Can you help me figure out which specific part of this code is causing the problem -- and suggest how I could add logging or assertions to pinpoint the issue if it is not immediately obvious?"

    Best for: complex bugs where the problem is not obviously located in a specific line or function.

  4. Prompt 04 · Review for common mistake patterns

    "Here is my code: [paste]. I cannot find the bug. Can you review it specifically looking for common mistake patterns in [language] -- things like off-by-one errors, null/undefined handling, scope issues, mutation bugs, async errors, or incorrect operator use -- and flag anything suspicious?"

    Best for: the bug you have been staring at for an hour that you simply cannot see anymore.

  5. Prompt 05 · Explain the fix so I learn from it

    "Here is my buggy code: [paste] and here is what is wrong with it: [describe or paste error]. Can you fix it and then explain in detail why the bug occurred, what the correct mental model is for this situation, and how I can avoid making the same mistake in the future?"

    Best for: turning a debugging session into a learning opportunity rather than just getting a fix.