I like this framing a lot: using LLMs to stay in contact with the material, not to skip past it.
In coding-agent work I see a similar pattern. The best outcomes usually happen when the agent is forced to study concrete source material first: real repos, real docs, real examples, and the constraints behind them. The worse outcomes happen when it generates a plausible path from a vague prompt and never has to reconcile that with existing practice.
For learning, I imagine the same thing matters: the LLM should help structure the path and explain the friction, but the learner still needs to touch the code and compare against sources.
The source-backed part feels more important than the generated tutorial part.
In coding-agent work I see a similar pattern. The best outcomes usually happen when the agent is forced to study concrete source material first: real repos, real docs, real examples, and the constraints behind them. The worse outcomes happen when it generates a plausible path from a vague prompt and never has to reconcile that with existing practice.
For learning, I imagine the same thing matters: the LLM should help structure the path and explain the friction, but the learner still needs to touch the code and compare against sources.
The source-backed part feels more important than the generated tutorial part.