By favorite, I mean posts that are insightful and deep.
Above is just one example that I like a lot found very useful. There are of course many others. Please share yours:)
https://eugeneyan.com/writing
My company just hired some new VPs from Amazon, and the writings in that blog convey a bit of the Amazon WOW. It's pretty insightful stuff.
Also, many posts from Julia Evans :D
More concretely, here are a few blog posts I go back to occasionally:
https://doordash.engineering/2019/02/20/experiment-rigor-for...
https://www.unofficialgoogledatascience.com/2019/12/humans-i...
https://www.unofficialgoogledatascience.com/2016/10/practica...
https://eugeneyan.com/writing/ml-design-docs/
https://eugeneyan.com/writing/what-i-do-before-a-data-scienc...
https://www.fharrell.com/post/addvalue/
https://www.fharrell.com/post/stat-ml2/
https://gaultier.github.io/blog/x11_x64.html
https://diy.viktak.com/2022/04/home-made-tpm2-0-module.html
https://r.bluethl.net/how-to-design-better-apis
https://crystalverse.com/sodium-chloride-crystals/
https://twitter.com/Kristy_Viers/status/1287189581926981634
- Branch prediction
https://danluu.com/branch-prediction/
- How fast are Linux pipes anyway?
https://mazzo.li/posts/fast-pipes.html
- NAT Slipstreaming v2.0
https://samy.pl/slipstream/
https://www.gafferongames.com/
It's a collection of many blog posts, but an entertaining read of working under not only technical, but also artistic and business restrictions.
https://all-things-andy-gavin.com/2011/02/02/making-crash-ba...
Good deep dive.
https://eugeneyan.com/writing
My company just hired some new VPs from Amazon, and the writings in that blog convey a bit of the Amazon WOW. It's pretty insightful stuff.
Also, many posts from Julia Evans :D
More concretely, here are a few blog posts I go back to occasionally:
https://doordash.engineering/2019/02/20/experiment-rigor-for...
https://www.unofficialgoogledatascience.com/2019/12/humans-i...
https://www.unofficialgoogledatascience.com/2016/10/practica...
https://eugeneyan.com/writing/ml-design-docs/
https://eugeneyan.com/writing/what-i-do-before-a-data-scienc...
https://www.fharrell.com/post/addvalue/
https://www.fharrell.com/post/stat-ml2/