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You are not just going up an abstraction. Whether you are using Python, C, Assembly, you are still engineering because you are writing the specific instructions that make the software work. In this case, you are more like a manager than an engineer that is managing something to engineer for you.

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Calling scipy.spatial.Delaunay feels about the same level of abstraction as telling an LLM "write me a routine to calculate Delauny triangulation", except the LLM can do it in any language, and I can trivially tweak the algorithm if I need to. If anything, using LLMs to generate code feels like going down a level, because I can now be bothered implementing things from scratch where previously I would simply have used a library.

You can't convince me that shepherding an LLM to re-implement a library function involves less "engineering" than just... calling the function.

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