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It's so interesting to me as a Mechanical Engineer and Hardware designer/architect how on HN "Engineering" almost always means "Software engineering" here.
To answer the OP, this Civil engineering blog / video site is really good. I always learn something new, and his enthusiasm is infectious. Well worth giving it a look:
1. BI Cortex - sadly seemingly not active anymore: https://bicortex.com/
2. Mark Litwintschik's Tech Blog: https://tech.marksblogg.com/
Earlier quoted context omitted.
That’s great, unfortunately it is quite rare for CS undergrad programs in the US to require the basic engineering and science classes the other engineering/science majors require.
Do you not have separate "software engineering" and "computer science" undergrad streams?
Ask the LLM you wrote this post with!
It's so interesting to me as a Mechanical Engineer and Hardware designer/architect how on HN "Engineering" almost always means "Software engineering" here.
The best ever is, IMO, Charles Bloom's blog, especially if you have any interest in data compression:
https://cbloomrants.blogspot.com/
But it is no longer regularly updated.
> https://lessnews.dev A while ago I felt this "information fatigue" due to the overwhelming updates from the typical news sources (reddit, twitter, even hn). So I built a _slow_ webdev newsfeed aggregator that doesn't overwhelm you of constant updates, so you focus on reading the actual blog contents and enjoy other things.
I bookmarked to take a closer look later, but I'm a little unclear on the premise, could you explain what you mean by "slow"/how it is filtered/curated?
Problem I had with the other newsfeeds is that I get distracted by the constant updates, always refresh the front-page, skipping the actual content and just skimming through headlines and comments.
So I built this one, set it as my homepage, and because it doesn't update often, I will actually read the content of the links. When I'm done, I move on to other things in life.
It's curated by matching keywords (focusing on web development) on HN, mostly automated but with few manual adjustments now and then.
Anyone specifically looking for ML engineering blogs should find this useful: https://github.com/primaprashant/ml-engineering-blogs