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Back to Prompt Library
Coding
DebuggingError HandlingCoding

Debugging and Root Cause Analysis Assistant

Diagnoses errors, explains root causes in plain English, and provides corrected code with prevention tips.

Best For

  • •Developers stuck on a cryptic stack trace who want a structured diagnosis instead of guessing randomly.
  • •Junior engineers who need the 'why' behind an error explained in plain English, not just a fix pasted at them.
  • •On-call engineers under time pressure who need a fast root-cause hypothesis plus a prevention step for next time.

Prompt Template

Help me debug the following issue in my [LANGUAGE/FRAMEWORK] application. Error message: [PASTE ERROR HERE] Relevant code: [PASTE CODE HERE] Context: [DESCRIBE WHAT YOU WERE TRYING TO DO AND WHEN THE ERROR OCCURS] Please: (1) identify the most likely root cause, (2) explain why this error is occurring in plain English, (3) provide a corrected version of the relevant code with changes highlighted, (4) explain what the fix does, (5) suggest how to prevent this class of error in future (code patterns, linting rules, or tests to add). If you need more context to be certain, list the specific information that would help you confirm the diagnosis.

Pro Tip

Paste the full error message including the stack trace, not just the last line, since the file and line number several frames up is often where the actual bug lives.

Example Output

A sample of what this prompt produces once you fill in the placeholders.

For a 'Cannot read properties of undefined' error in a React component, the output identifies a missing null check before accessing user.profile.name as the root cause, explains that the prop arrives async before the initial render, provides a corrected snippet with optional chaining, and suggests adding a loading state plus a PropTypes or TypeScript check to catch it earlier next time.

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How to use this prompt

  1. Copy the prompt template using the button above.
  2. Paste it into your preferred AI assistant (ChatGPT, Claude, Gemini, etc.).
  3. Replace all bracketed placeholders like [TOPIC] with your specific details.
  4. Send the prompt and refine the output as needed.

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