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We now run evals to help you know what AI models perform best to write Nuxt code. nuxt.com/evals

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I wonder if this means that: a) Nuxt's error handling docs are insufficient b) The error handling itself is incomplete, or could be better c) Opus just has a hard time dealing with error handling, generally d) All of the above I recently implemented @hrcd.fr's evlog w/ Opus's help. So far so good.

Looking at the feedback provided through the docs feedback module, and even being honest, I think the documentation on error handling could clearly be improved, with potentially more concrete examples, etc. 🤔 Btw thanks for using evlog 🙏

Perhaps the feedback loop of simply asking Opus (and other models) to look through the existing error handling docs, the error handling code itself, and asking it to make clearer, actionable examples that would better inform the model would be worth trying? Would at least waymark improvements.