Very. Very nice

Thanks for bringing some intuition!

Fair, sorry about that

Great example

Here is used in the Lebesgue measure theory sense

Already replied :)

The source code of the website is open if you wanna check it out!

Thanks. Your website looks really nice!

Glad that you like it :)

There is some geometric intuition in wikipedia page for this theorem you may like :)

The 2ms it takes to run jq versus the 0.2ms to run an alternative is not why your coding agent feels slow.

Still, jq is run a whole lot more than it used to be due to coding agents, so every bit helps.

The vast majority of Linux kernel performance improvement patches probably have way less of a real world impact than this.

> The vast majority of Linux kernel performance improvement patches probably have way less of a real world impact than this.

unlikely given that the number they are multiplying by every improvement is far higher than "times jq is run in some pipeline". Even 0.1% improvement in kernel is probably far far higher impact than this

Jq is run a ton by AIs, and that is only increasing.

I can't take seriously any talk about performance if the tools are going to shell out. It's just not a bottleneck.

It's not running jq locally that's causing that

Lol. Funny story :)

I'm not sure about the single-core scenario, but would love to learn if someone else wants to add something

In reality multiple threads for single core doesn't make much sense right?

> In reality multiple threads for single core doesn't make much sense right?

Not necessarily, I think -- depends what you're doing.