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In my experience AI is pretty good at performance optimizations as long as you know what to ask for.

Can't speak to firmware code or complex cryptography but my hunch is if it's in it's training dataset and you know enough to guide it, it's generally pretty useful.

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> my hunch is if it's in it's training dataset and you know enough to guide it, it's generally pretty useful.

Presumably humanity still has room to grow and not everything is already in the training set.

> In my experience AI is pretty good at performance optimizations as long as you know what to ask for.

This rather tells that the kind of performance optimizations that you ask for are very "standard".

Most optimizations are making sure you do not do work that is unnecessary or that you use the hardware effectively. The standard techniques are all you need 99% of the time you are doing performance work. The hard part about performance is dedicating the time towards it and not letting it regress as you scale the team. With AI you can have agents constantly profiling the codebase identifying and optimizing hotspots as they get introduced.

> Most optimizations are making sure you [...] use the hardware effectively.

If you really care about using the hardware effectively, optimizing the code is so much more than what you describe.

As most are

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