AI Helps Students Cheat Themselves
A study covered on HN today showed that students using AI saw homework scores rise 18% and completion time drop significantly. Then exam scores dropped. The mechanism is obvious in retrospect: AI removed the struggle that is actually how learning happens. Homework got easier, retention got worse.
The key insight from the comments: this is not just an education problem. It maps directly onto how developers use AI for coding tasks. You can ship faster, but if you don't understand what you shipped, you're accumulating knowledge debt the same way those students accumulated exam debt. The 'AI-blind' thread reinforced this, with people noting reduced ability to think independently after heavy AI use.
This is the kind of empirical result that tends to get ignored until it's too obvious to dismiss. The study framing it as homework vs. exam is clean, but the real question is what the equivalent of 'the exam' looks like for software builders.
So what?
If you're managing a team that leans heavily on AI for coding, you may be accumulating hidden skill debt that only surfaces during incidents, architecture decisions, or debugging sessions with no AI to lean on. Building in deliberate no-AI exercises or code reviews that require explanation is not paranoia, it's risk management.