AI Error Explainer
Explain a code error/stack trace and how to fix it.
Your input is sent to our AI provider to generate a result and is not stored. Review AI output before using it.
About AI Error Explainer
Use AI Error Explainer to explain a code error or stack trace in plain English and suggest things to try without spending an hour rewriting the same sentence in five different ways. You paste in the error message or stack trace plus a short note on what you were doing, the tool returns an explanation of the error and possible fixes, and you decide what to keep. It works well for developers debugging tricky errors who already know what they want to say but want a sharper starting point. The output is editable on purpose. Tweak the wording, swap a word, or rerun with a slightly different brief until the result feels right.
How to use
- 1Open the AI Error Explainer tool above.
- 2Paste or type your input (the error message or stack trace plus a short note on what you were doing).
- 3Pick any tone or format options if available.
- 4Click Generate and wait for the result.
- 5Review the output and edit anything that does not fit.
- 6Copy the result into your own workflow.
Features
- Explains errors and stack traces in plain English
- Suggests common causes and things to try
- Useful for learning while you debug
- Pairs well with the Code Explainer
- Saves searching through dozens of forum posts
- Always confirm suggestions in your actual codebase
Privacy
Your code and prompt are sent to the configured AI provider to generate a result and are not stored by this tool. Avoid pasting passwords, API keys, secrets, customer data, or proprietary code. AI-generated code may contain mistakes — review, test, and run security checks before using it in production.
Frequently asked questions
Will it fix my code?
It explains the error and suggests next steps. Use the suggestions as leads. Test fixes in your project; real bugs depend on context the model does not see.
What should I paste?
Paste the full error or stack trace, plus a sentence about what you were doing. The more context, the better the explanation.
Does it know my framework?
It recognises common frameworks. Mention versions and key libraries in your prompt so suggestions stay relevant to your setup.
Is it always right?
No. Some explanations may miss the real cause. Use it as a starting point alongside your own tests and the framework's documentation.
Is the error private?
Your input is sent to the configured AI provider. Strip secrets, tokens, and user data from error messages before pasting.
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