Can an AI learn fixes from error logs? A developer's experiment
A developer asked whether an AI system can detect solutions from logs — an error appears, a human fixes it, and the system learns the pair into a database. The thread highlights a common failure: feeding raw logs to GPT or Claude yields wrong or impossible answers because logs are noisy. The emerging consensus is to normalize errors into canonical signatures before retrieval.