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?
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 )
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.
For example: The Architecture of Open Source Applications
Antirez' blog (of Redis fame) https://antirez.com/
Simon Willison's blog (about AI) https://simonwillison.net/
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).
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
There is much to learn, in these books.
The Mind of an Engineer by Purnendu Ghosh et al. - https://link.springer.com/book/10.1007/978-981-10-0119-2
The Mind of an Engineer: Volume 2 by Purnendu Ghosh et al. - https://link.springer.com/book/10.1007/978-981-15-1330-5
Otherwise... coming soon from a vibe-coding session near you...
quite diverse, often challenging, sometimes mind bending
https://www.mongodb.com/company/blog/channel/engineering-blo...
Raymond Chen's The Old New Thing is also required reading for anyone that works with Windows.
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.
1. BI Cortex - sadly seemingly not active anymore: https://bicortex.com/
2. Mark Litwintschik's Tech Blog: https://tech.marksblogg.com/