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So how do you build competence in a world where AI is preached to be the most reasonable way to solve problems because it's supposed to be faster than humans?
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Have a single human AI chef. Everyone else has to write an engineering statement and submit it to the AI chef. All that interaction is outside the codebase. Engineers will take turns - perhaps 1 month stints - being the AI chef.

I guarantee you'll spend less on tokens, have better documentation, better code, and most importantly more competent engineers.

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That's like asking "how do you build competence in plowing a field with a horse in a world of tractors"
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Pretty straight forward really, you keep using horses in parallel: https://www.abc.net.au/news/2025-10-18/heavy-horsemen-keep-f...

That's the other side of the country, but it's how it's done over here also.

Still pull the old plough varieties, still practice shed blacksmithing, etc - even while developing and using autonomous Ag-Bot tractors for spraying, etc.

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incompetent people, surely?
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