> Another example is prematurely choosing a complex data structure for theoretical efficiency (say, a custom tree for log(N) lookups) when the simpler approach (like a linear search) would have been acceptable for the data sizes involved.

To be fair, a linear search through an array is, most of the time, faster than a hash table for sufficiently small data sizes.

I'd say that this is premature optimization.

It doesn't take long for hash or tree lookups to start outperforming linear search and, for small datasets, it's not frequently the case that the search itself is a performance bottleneck.

>Or do devs around the world just have to bite the bullet and learn enough English to be able to use the majority of tools?

Yes, coding in english is the standard.

>IANAL, but It is worth noting here that DeepSeek has explicitly consented to a license that doesn't allow them to do this. That is a condition of using the Chat GPT and the OpenAI API.

I have some news for you

The "cousin you don't want to be like" is someone with an electrical engineering degree at 21?

Graduating with an EE degree in 3.5 to 4 years is basically the norm? I know dozens of people from my own state school that did that.

what about Kotlin?