Went on for about a year, worse each week, before i left.

That could be an incentive to keep companies small, but high-scale companies do have unique benefits to society.

I noticed it was especially bad for on-call and incident response; these managers get pulled in to all the incidents because of their status and supposed involvement, but are not particularly useful in those rooms, adding even more cooks to the already crowded kitchen.

how can this be? isn’t this a trivial metric to pull from any clouds monitoring service?

to get the good ones (H100+) you generally have to reserve them, a fixed cost you pay monthly and can’t pretend to not know

Data Engineers took over the plumbing once they moved on from Scala and Spark. ML Engineers took over the modeling (and LLMs are now killing this job too, as it’s rare to need model training outside of big labs). Data analysts have to know SQL and python these days, and most DS are now just this, but with a nicer title and higher pay.

Once upon a time I thought DS would be much more about deeper statistics and causal inference, but those have proven to be rare, niche needs outside soft science academia.

people seem to forget he was legally forced to buy Twitter after he tried for months to get out of his joke bid, primarily through claiming he was misled about the extent of bots on the platform

I’ve recently switched to using conventional commits and release-please everywhere, but that pretty much forces us into a squash-only world, since even the devs who write nice commit messages don’t want to make each commit a conventional commit; much nicer to do it as the PR title, and more visible

why is type checking the exception? with google and facebook and astral all writing their own mypy replacements, i’m curious why this space is suddenly so busy

From the outside, pixi looks like a way to replace (conda + pip) with (not-conda + uv). It’s like uv-for-conda, but also uses uv internally.

Better task running is cool, but it would be odd to use pixi if you don’t otherwise need conda stuff. And extra super duper weird if you don’t have any python code!

Despite the name, act is really only for the latter. You can try to test a local action by putting it in a workflow and calling that, but if you do a checkout in your workflow that will overwrite the mount of your local code into the act container, meaning you’ll get the version from the remote branch instead. Depending on the action, you may not be able to comment out the checkout step while testing.