tl;dr: "I’ve always been the kind of person that sits in the corner, puts their head down and gets stuff done... knowing how to present, talk about and market your work to the right people is a critical skill." Shubheksha also discusses other things she's learnt.
tl;dr: "A machine learning algorithm significantly responsive and accurate can pierce the veil of cultural ignorance." With half of TikTok's engineers focussed on its matching algorithm, Eugene discusses how the algorithm made the app.
tl;dr: Jeff took over as the product and engineering lead of MS Teams a week before the pandemic. He talks about what he's learnt - prioritize planning and alignment, break down silos, fostering collaboration, and more.
“Measuring programming progress by lines of code is like measuring aircraft building progress by weight.”
tl;dr: "Considering that short functions tend to lead to longer debug times and that very short functions tend to have higher defect densities (both in historical and modern datasets) the case for using very short functions becomes weak."
tl;dr: The purpose of this is "to introduce the internet to a non-technical audience. In order to get everyone on board, I first explain basic concepts, such as communication protocols, network topologies, and signal routing."