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Beyond the Traceback: Using LLMs for Adaptive Explanations of Programming Errors

Source
arxiv.org
Author
Alexandru-Radu Moraru, Shreyan Biswas, Ujwal Gadiraju
Date
Why it matters

-rewritten error messages feel clearer and less taxing than raw interpreter output, but the measured debugging performance — fix rate, attempts, time-to-fix — does not follow the perceived improvement.

Terms in this piece · Glossary
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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