I somehow didn’t think a regular JIT solution might be applicable here, but it is. Thank you! There seems to be a number of projects doing JIT for C++, will look at them.
I somehow didn’t think a regular JIT solution might be applicable here, but it is. Thank you! There seems to be a number of projects doing JIT for C++, will look at them.
So far I’ve been following recommendations from this person: https://old.reddit.com/r/NewMaxx/comments/16xhbi5/ssd_guides_resources_ssd_help_post_your_questions/
Kernel is not a monolithic application, and you cannot develop it like one. There are tons of actors: independent developers, small support companies (like Collabora), corporations, all with different priorities. There is a large number of independent forks (e.g. for obscure devices), that will never be merged, but need to merge e.g. security patches from the mainline. A single project management tool won’t do, not your typical business grade tracking&reporting tool.
CI is already there. Not a central one—again, distributed across different organizations. Different organizations have different needs for CI, e.g. supporting weird architectures that they need to develop against.
There is a reason Torvalds created git—existing tools just wouldn’t work. There might be a place for a similar revolution regarding a bugtracker…
This plea for help is specifically for non-coding, but still deeply technical work.
The thread is an attempt to merge a new file system, bcachefs
. This is a large change, requiring a lot of review from experienced developers, and getting anyone to do this work turned out to be difficult. Darrick here started talking how, in general, all development of file systems in Linux is troubled by lack of manpower.
I guess the best start would be to have a person to organize volunteers.
Another idea that just occurred to me. Maybe position: absolute; both the real content and the gibberish content with the same top, left, width, and height attributes so that the real content and the gibberish overlap and occupy the same location on the page. Make sure both the real and gibberish content elements have no background so that remains clear. Put the gibberish content in the DOM before the real content. (I think that will ensure that the gibberish appears behind the real content even without setting the z-index.) And then make JS set the color of the text in the gibberish element the same color as the background so humans can’t see it.
Be aware that these techniques can affect accessibility for people using screen readers.
As of May 2023, 65% of the Ukrainian refugees that left Ukraine starting February 2022 and decided to stay in Poland found a job—so, within around a year, as opposed to 5-6 years as in the article. Cultural similarity here is likely making it much, much simpler. For those who want to read more about the situation of Ukrainian refugees in Poland, this report by Polish National Bank (Narodowy Bank Polski, NBP) might be useful: https://nbp.pl/wp-content/uploads/2023/05/Raport_Imigranci_EN.pdf (in English!), there is a lot of interesting details.
Yep, thank you, that’s pretty close to what I imagined!
Last job, we started writing mixing bits of Kotlin in an otherwise mostly-Java in a monolithic Spring-based service. Good experience.
One reason (among many) is that employment in American companies is less stable than in Europe with strong employment laws. Twitter could not do the same type of layoffs in Europe, with stories like this one being pretty common. But this safety net has a cost, and the cost is a part of total employment cost for employers. Whether the safety net is worth it for employees in IT, that’s another matter—but it can’t not be taken into account because of the law.
BTW, in some European countries there is a strong culture of IT workers doing long-term contractor work exactly to trade off employment laws for (usually quite a lot) higher wage.
I’d probably be fine with hundreds or thousands of these hanging in memory. I suspect the generated code for a single query would be in hundreds of kilobytes, maybe a megabyte. But yeah, this is one of those technical details I’d worry about.
Not sure how a HTTP server would solve the CPU bottleneck of scanning terabytes of data per query?