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LLMs have made it too easy to skip the struggle that actually builds learning, so the author rebuilt his approach: use LLMs as Socratic mentors that ask questions instead of giving answers, delegate boring grunt work, plan projects in phases to stay motivated, and make progress visible to maintain curiosity.
- The core problem: LLMs can one-shot solutions, removing the productive struggle your brain needs to actually learn and retain information—you have to force yourself to work through problems first, then use LLMs to explain concepts you're stuck on.
- Use LLMs as a Socratic mentor, not a code generator: ask it to ask you questions that lead you to the answer yourself, which makes the lesson stick far better than being handed the solution.
- Plan your learning projects in detailed phases with clear goals and checkboxes before you start; this kills procrastination and lets you resume work with zero willpower, plus spaced practice across short sessions actually cements learning better than marathon grinding.
- Build visible progress into your project—a REPL, UI, benchmark chart—to maintain motivation and curiosity; the author's LSM-tree compaction code making reads 100× faster was what kept him engaged.