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As long as there’s a trade off between experimentation and performance, software will always be slightly too slow.


And now the other aspect of the trade off is token budget allocation.

The author seems to be in a situation where you can burn as many token as you want. I don't know if that's a general situation.

(Even if you don't care about the environment impact of your computations, there is a dollar bill associated, and _someone_ cares very much about that.)

I can foresee a situation where devs will have to decide on how they allocate a fixed token budget - and then, faced with the option of "burning tokens to add a new feature requested by a customer for tomorrow's demo" or "burning tokens to maybe make the app faster in some edge case", the trade off will look a lot like the ones organisations made with human dev time.

This assumes that tokens are not going to get dramatically cheaper. I can't predict the future, but I don't see a path to that (or, are local models, and "a TPU in every machine" going to make the question irrelevant?).

I can definitely see a path were tokens get massively more expensive (let's meet six months after anthropic's IPO and check :D)




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