AI tools handle a lot of what used to be junior-developer work — writing basic CRUD functions, simple bug fixes, boilerplate setup. This raises a genuine question: how do junior developers build skill if the easy reps are automated away?
Junior developers who learn to use AI tools well — reviewing and understanding generated code rather than blindly accepting it — actually ramp up faster than previous generations, because they're exposed to more patterns, faster, with an AI "pair programmer" available constantly.
Code review and critical evaluation skill becomes more important earlier in a junior developer's career. The valuable juniors are the ones who can look at AI-generated code and say "this works but it's wrong for our use case because..." — judgment that used to develop over years of writing bad code; now it needs deliberate teaching.
Don't remove junior developers from teams because "AI replaces the easy work." Instead, restructure mentorship to focus on code review, architecture reasoning, and debugging — skills AI doesn't teach by itself.
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