Not all bug fixes are equal: there are those LLMs can solve and then there are those developers don’t want to hear about.
Credit to Tomas Reimers for the observation. It’s funny because it’s true — and it maps to a real categorization problem. The bugs AI handles well are the ones with clear patterns: syntax errors, known library issues, standard implementation mistakes. The ones developers avoid are the architectural ones, the “we made this decision three years ago and now it haunts us” ones.
The interesting question: as AI gets better at the first category, do developers spend more time on the second? Or do they just accumulate more of the hard ones?
Originally posted on LinkedIn