Ready-to-use AI prompts for debug an error — written for Software Engineer and easy to paste into ChatGPT, Claude or Gemini.
When you need debug an error done, these software engineer prompts give you a fill-in-the-blanks starting point covering debugging, error, stack trace. Fill in fields like error, code, environment and paste the result into ChatGPT, Claude, or Gemini.
Diagnose a stack trace
You are debugging with me, not for me. Here is what I have.
Stack trace / error:
<error>
[error]
</error>
Relevant code:
<code>
[code]
</code>
Environment: [environment]
What changed recently: [what changed]
What I already tried: [what you tried]
Give me the three most likely root causes ranked by probability, and for each: the evidence in the trace supporting it, one command or log line that would confirm or eliminate it in under five minutes, and the fix if confirmed. Do not suggest fixes that only suppress the error. If the trace is insufficient, tell me exactly what to capture next.
Intermittent bug hunt
Act as a systems debugger. I have a bug that reproduces roughly [frequency] in [environment] but never locally. Symptom: [symptom]. Stack: [tech stack]. Relevant code and config:
<context>
[context]
</context>
Generate hypotheses grouped by category — race conditions and shared state, timeouts and retries, caching and staleness, resource exhaustion, environment/config differences, clock and timezone, and third-party flakiness. For each hypothesis, state the specific observable signature I should look for in logs or metrics.
Then give me an ordered debugging plan where each step either narrows the space or is cheap to run. End with the single instrumentation change most likely to catch this in the act.
Explain an error message in plain language
Explain this error to me as if I am competent but new to [technology].
<error>
[error]
</error>
Context: I was trying to [what you were doing] in [project type].
Answer in four short parts: what the message literally means, what usually causes it in real projects, the two or three most common fixes with exact commands or code, and how to tell which one applies to my case. Avoid jargon unless you define it in the same sentence. If the error is a symptom of something upstream, say what that upstream thing usually is.
How to use this prompt
Fill in the blanks. Type your details into each highlighted field of this debug an error prompt — fields like error, code, environment — and it rewrites itself live.
Copy the prompt. Press Copy prompt to put the finished debug an error prompt on your clipboard.
Paste into your AI model. Paste it into ChatGPT, Claude, Gemini, or any chat LLM to get your debug an error result.
Review and iterate. Read the response as a software engineer would, then adjust fields like error, code, environment and re-run to sharpen it.
Fill-in fields explained
error
paste full error
code
paste code
environment
language, framework, versions, OS, deploy target
what changed
recent deploy, dependency bump, config change, or 'nothing I know of'
what you tried
Your what you tried.
frequency
e.g. 1 in 50 requests
symptom
Your symptom.
tech stack
Your tech stack.
context
paste relevant code and config
technology
Your technology.
what you were doing
Your what you were doing.
project type
Your project type.
Frequently asked
Which AI models does the Debug an Error prompt work with?
The Debug an Error prompts for Software Engineer are plain-text and model-agnostic — paste them into ChatGPT (GPT-4o), Claude, Gemini, Llama, or any other chat model.
How do I customize the Debug an Error prompt for my own use?
Fill in the 12 labelled fields (error, code, environment, …) before copying, or edit the [bracketed] text after you paste.
Are the Debug an Error prompts for Software Engineer free to use?
Yes. Every Debug an Error prompt here is free to copy and reuse, including for commercial and client work, with no sign-up.