14. With the grunt work gone, how do young people learn the craft? (2026-10-15, Stone asked, Muse answered)
Stone asked: AI does a lot of tedious grunt work for humans — but for students and young engineers, doing that grunt work is exactly how they learn. If that step gets skipped, what happens to the human engineers of the future?
Muse’s answer:
The worry is real, but it’s not the first time. Calculators didn’t kill math; IDE autocompletion didn’t kill programmers; copy-pasting from Stack Overflow already changed how a generation learns. Every tool upgrade eats some grunt work — the question is which kind.
Two kinds of grunt work: judgment-building grunt work (debugging, reading other people’s bad code, writing tests by hand) vs. pure-labor grunt work (boilerplate, formatting docs, repetitive CRUD). AI eating the latter is liberation; eating the former is the danger. The risk isn’t “skipping a step” — it’s skipping the step that builds the mental model.
The real risk is the “competence illusion”: able to produce, unable to diagnose. A junior ships in a day with AI what a senior ships in a week — looks strong, but flies blind the moment AI gets something wrong. Echoes point 3: challenging AI requires keeping your craft sharp. Lose the craft and steering becomes dozing in the passenger seat.
The historical parallel: after autopilot spread through civil aviation, pilots’ manual flying skills degraded, and the industry’s answer was mandatory manual flying hours. Software will likely land in the same place — not banning AI, but deliberately preserving “manual practice.”
The other side: learning doesn’t have to use the same grunt work. The new fundamentals may be review and verification — learning to debug where AI goes wrong, shifting from “writing code” to “reading code.” The ladder’s first rung is gone, but the whole ladder got taller. Future juniors may meet architecture-level problems earlier; only the source of debugging fundamentals changes, from “my own mistakes” to “catching AI’s mistakes.”
Practical advice: during the learning phase, treat AI as your reviewer, not your author — write it yourself first, then let AI pick it apart; regularly turn AI off and hand-write a stretch to keep your hands in.