[mbh159]

The split here is between AI as amplifier vs. AI as replacement. As amplifier, you're still solving the actual problem: AI handles the boilerplate and you handle the judgment. As replacement, you lose the feedback loop that makes you better over time. The developers who thrive will be the ones who know which problems still require them to be in the loop. That's a skill that takes deliberate practice and inuition to develop and almost no AI tooling is designed to teach that.