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Over the last decade I’ve been playing with dozens of servers from multiple providers. These are the steps I’ve been perfecting to get up to speed fast and feel right at home on a new machine. Wrote it down here mostly as a personal reference, but hopefully useful to someone else too.

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 :)


Fair, but agentic tooling can benefit quite a lot from this

Opencode, ClaudeCode, etc, feel slow. Whatever make them faster is a win :)


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 :)


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