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I ported modern Linux to a ten-year-old HTC QWERTY phone as a handheld terminal. I wrote it up here: https://tmzt.github.io/blog/a-modern-port-of-linux-to-a-ten-... You can see the code here: https://github.com/tmzt/linux-stable-msm-dtsi

GUI disk analyzers are great for figuring out what's filling up your laptop/desktop drive. On containers or remote servers, the options are limited to purely text based utilities (e.g. du) or list-centric TUIs (e.g. ncdu) which are usually limited to viewing one directory at a time. I created leaves to fill that gap. Inspired by classic utilities like WinDirStat and KDirStat, it uses a 2-dimensional treemap^1 visualization to show the entire directory hierarchy with proportionally sized rectangl

Hi HN, I am co-founder of Kickstage, a software company specializing in solutions for the electrical industry and lately grid operators. We are hiring engineers from different backgrounds, a lot of them software developers with limited experience in the sectors. Deep domain knowledge is key in our industry however, so we are constantly teaching the basics of power flow analysis, active vs reactive power, transmission line properties etc. With Jupyter notebooks and the Python console only, that's

As long as we don't have AGI or superintelligence, we still need good software engineers. And even if we do reach AGI and coding is "solved," are we really supposed to just trust the generated code? Outsourcing our cognitive thinking and understanding isn't the way to advance as humans, nor is it the way to stay ahead of AI. If we give that up, how do we limit AI slop? And how would we even pull the plug, if it came to that? Understanding computer science concepts and developing good software en