I honestly don't think that doing these cool things improves your odds of getting hired. Junior Devs don't really touch these parts of a platform, let alone lead development on them from scratch.
A valuable engineer, to me, is someone who writes clean, maintainable code and follows common patterns. That's also something which has to be learned by trial and error to actually see the value of.
I argue that we should replace property taxes with income taxes because property taxes lead to disparities in outcomes between different jurisdictions. Then an old man can be secure in his own property without depriving the public of funds.
And I disagree with your premise that property taxes pay for a decent education. We don't have decent education in the United States and I truly believe that no amount of money will fix that
Ladybird seems almost singularly focused on macOS development. They say that they intend to incrementally move from C++ to Swift
How so? I know literally nothing about ladybird
Yes (Chad face)
I think it's the moral issue of having to cash out your own property to afford to live in something you built and already own
Lol. Lmao, even
No there's lots of different kinds of people. Some people work a full 9-5 chained to their desks, and others get their work done early so they can go and live their lives to the fullest. The point of WFH is flexibility: I don't need permission to go walk my dog or fold laundry. As long as I get my assigned work done, who cares WHEN or HOW or WHERE I do it
Engineer Syndrome. You get mildly good enough at writing Javascript to sell a product and then assume that means you can fix all of society's problems
Terrible website with some legitimately hilarious but completely unironic posts from what I can only surmise are the human equivalent of NPCs. Still, I don't spend all day reading LinkedIn crap, I just use it to communicate with recruiters. Has been useful in my career but the social aspect of it is hilarious
Sure, look at their personal projects. I'm just saying the maintainability and quality of the code and speed of iteration is more of the point than how impressive the math is behind an ML algorithm. I've just seen a lot of ML engineers/data scientists who really suck at writing maintainable code