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October Reading

Some of the best discoveries (or rather re-discovery) is Erik Bernhardsson’s blog. I’ve read a few pieces (https://erikbern.com/2019/04/15/why-software-projects-take-longer-than-you-think-a-statistical-model.html, https://erikbern.com/2020/01/13/how-to-hire-smarter-than-the-market-a-toy-model.html and https://erikbern.com/2018/08/30/i-dont-want-to-learn-your-garbage-query-language.html) in the past with big intervals, but never realised it’s the same person behind them.

When discussing Youtube’s recommender algo paper (https://research.google.com/pubs/archive/45530.pdf) colleague of mine mentioned Nearest Neighbours library Annoy – https://github.com/spotify/annoy/, which is also done by Erik.

Some of the cool things I read now are https://erikbern.com/2020/06/08/how-to-set-compensation-using-commonsense-principles.html, https://erikbern.com/2019/02/21/headcount-targets-feature-factories-and-when-to-hire-those-mythical-10x-people.html

I totally recommend to read his top posts for anyone in software industry, and especially engineering managers.