Why are my debugging prompts giving bad answers?

Usually missing context. The model can't see your code or environment — these prompts ask for the error, the relevant code, and what you already tried, which is what makes the difference.

Can it fix the bug for me?

It can propose fixes and explain them, but you should verify each one. The prompts rank fixes by likelihood so you test the most probable first.

Which model debugs best?

Reasoning-heavy models tend to do better on tricky logic bugs, but a well-structured prompt on a fast model often beats a vague prompt on a frontier one.

AI Debugging Prompts

Turn a cryptic error into ranked, likely fixes — with the reasoning — instead of guessing.

What to know

Debugging with an LLM works best when you stop pasting a stack trace and saying 'fix it.' These prompts turn an error plus context into a ranked list of likely causes and concrete fixes, with the reasoning for each so you can judge which is right. They're designed to turn a vague failure into a reproducible, fixable problem. Run them BYOK on any model.

2 prompts for debugging

Debug this error — root cause, not guesses

✓ Verified

Paste a stack trace plus the relevant code and get the most likely root cause, how to confirm it, and the fix. Ranked by probability.

GPT-500by Oort

Explain this error and rank the 3 most likely fixes

Paste a stack trace and the relevant code. Get a plain-English explanation of the root cause and three ranked fixes, each with a one-line tradeoff.

CLAUDE-OPUS-4-700by Oort

Debugging prompts — FAQ

Why are my debugging prompts giving bad answers?: Usually missing context. The model can't see your code or environment — these prompts ask for the error, the relevant code, and what you already tried, which is what makes the difference.
Can it fix the bug for me?: It can propose fixes and explain them, but you should verify each one. The prompts rank fixes by likelihood so you test the most probable first.
Which model debugs best?: Reasoning-heavy models tend to do better on tricky logic bugs, but a well-structured prompt on a fast model often beats a vague prompt on a frontier one.