Specifically interested in posts that: 1. Explain technical concepts clearly and concisely 2. Show real implementation details, trade-offs, and failures 3. Are well-structured and readable 4. Tie engineering decisions back to business or product outcomes
Any standout blogs, posts, or platforms you regularly learn from?
It's not "technical" so much as it just educates you on how to be a good web developer/run a team. There's zero fluff and considerable detail (footnotes are practically blog posts themselves).
https://stripe.com/blog/engineering
https://engineering.linkedin.com/
https://engineering.atspotify.com/
https://careersatdoordash.com/engineering-blog/
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Aggregators:( https://engineering.fyi/ ; https://diff.blog/ )
+ https://hn.algolia.com/?query=engineering%20blog
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create a public engineering-blog SKILL.md. ( ~ collect the writing patterns that work on HN )
But thank you!
I think it's on purpose. It is to signal that these (those without RSS) aren't really "engineering" blogs at all, they're marketing websites aimed to help with recruiting and making the organization seem "engineering-like".
Edit: Ah, noticed I made a without/with typo, fixed that, should make about 2% more sense now for the ones who the original meaning was unclear :)
> It is to signal that these (those with RSS) aren't really "engineering" blogs at all
So now when I corrected that with/without typo, it looks like your previous comment doesn't make sense, but it kind of did, at the time. Sorry about that and thanks for making me realize the typo!
Nothing wrong with the phrase itself of course, other than the fact that it's like literally in every other reply for me lol.
For example: The Architecture of Open Source Applications
Sort of makes you miss "move fast and break things."
"OP" couldn't even be bothered to reformat the numbered list to run on separate fucking lines.
The same post could be written in half as many words that aren't blatant LLM-isms.
But sure, cheer on the homogenization of online spaces into beige slop staccato bullshit.
Antirez' blog (of Redis fame) https://antirez.com/
Simon Willison's blog (about AI) https://simonwillison.net/
1. https://nepp.nasa.gov/whisker/
2. https://standards.nasa.gov/standard/NASA/NASA-STD-87394
3. https://standards.nasa.gov/NASA-Technical-Standards
4. https://sma.nasa.gov/sma-disciplines/workmanship
5. https://www.stroustrup.com/JSF-AV-rules.pdf
6. https://en.wikipedia.org/wiki/The_Power_of_10:_Rules_for_Dev...
7. https://www.nist.gov/pml/owm/laboratory-metrology/metrology-...
8. https://www.mitutoyo.com/training-education/
9. "Memoirs of extraordinary popular delusions and the madness of crowds" (Charles Mackay, 1852, https://www.gutenberg.org/files/24518/24518-h/24518-h.htm )
The artifacts are usually beautiful from good Workmanship Standards, Design For Manufacturability, and systematic Metrology. Dragging us all into the future one project at a time.
Note that training an ML model with such data would be pointless, as statistical saliency forms a paradox with consumer product design compromises. Note, there are _always_ tradeoffs in every problem domain.
'What it actually means to be "AI Generated"' ( https://www.youtube.com/watch?v=ERiXDhLHxmo )
https://www.youtube.com/watch?v=iXbzktx1KfU
Have a nice day, and note >52% of the web is LLM slop now. YMMV =3
yrand•2h ago
Blog posts where I find quality really shows are usually about something I know next to nothing about how it works. A badly written article usually either goes really shallow or skips some facts when going into depth and requires catchup elsewhere to actually understand it. The lidar article from Main Street Autonomy goes beyond basics and explained everything from the ground up in such a connected way that it was a real pleasure reading it.