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I read this point in the article with bafflement:

"Learn when a problem is best solved manually."

Sure, but how? This is like the vacuous advice for investors: buy low and sell high

By trying things and seeing what it’s good and bad at. For example, I no longer let it make data modelling decisions (both for client local data and database schemas), because it had a habit of coding itself into holes it had trouble getting back out of, eg duplicating data that it then has difficulty keeping in sync, where a better model from the start might have been a more normalised structure.

But I came to this conclusion by first letting it try to do everything and observing where it fell down.

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