AI coding assistants are reshaping career trajectories in software engineering. From observing how my team uses these tools, fullstack engineers are shipping complete features solo while specialists often hit boundaries at their domain edges. I suspect that generalist roles are gaining significant advantages in many (though not all) companies as broader architectural thinking becomes more valuable than deep specialisation. Curious how others are thinking about and adapting their skills and teams for this shift
AI boosts both ends, fullstack devs move quicker, but specialists gain new leverage. The key skill is knowing where to trust the model.