A third-year NLP PhD student describes losing the ability to debug by instinct after delegating scaffolding to Claude Code

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The top r/MachineLearning post of the day (161 upvotes, 50 comments) is a reality check from an interpretability PhD student whose Claude Code usage crept from argparse boilerplate and plotting to experiment scaffolding, dataloader refactors, first-pass training-run debugging and analysis scripts, with the author mostly reading diffs and approving. Throughput is up, but they no longer hold the codebase in their head: when a result looks wrong they now hunt through it like someone else's repo and catch bugs later, by reasoning about numbers rather than by knowing the code. Their own framing is the useful part, that they delegated a layer that was quietly doing more for their understanding than they credited.