Claude/Codex have helped me update codebases very fast, but for new repos/scripts/logic, not completely sure of the positives. 1/ it can often one-shot a working solution, but it’s often over-designed, lots of abstractions, tests, security paranoia where not needed, etc 2/ I used to develop everything through Jupyter notebooks, explore, test, etc. It was actually quite fast, great for exploring deeply my workflow, edge cases, etc 3/ now, maybe because of laziness, maybe thinking it will be faster/better/more efficient, I resort to Claude/Codex. It’s likely ok for quick or non-important features (personal admin dashboard/monitoring), but I’m not convinced of the long term value 4/ "but what about karpathy auto-research loop workflow"? I think it has its use cases, but you cannot prompt forever "make it better, here is the target" on every type of problem. Also on any specialized project, I don’t think LLM can reach the insight/creativity of humans, and those are better triggered through step-by-step development / visualization of the full pipeline vs just a top level overview