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Measuring and mitigating debugging effectiveness decay in code language models

Abstract The effectiveness of AI debugging follows a predictable exponential decay pattern; most models lose 60-80% of their debugging capability within just 2-3 attempts, despite iterative debugging being a critical capability for practical code generation systems. We introduce the Debugging Decay...

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Detalles Bibliográficos
Principais autores: Muntasir Adnan, Carlos C. N. Kuhn
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2025-12-01
Series:Scientific Reports
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Acceso en liña:https://doi.org/10.1038/s41598-025-27846-5
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