An incredible 7 minute demo of APL, going from constructing an array to visualising Conway's Game Of Life, built incrementally without loops or temporary variables: https://www.youtube.com/watch?v=a9xAKttWgP4
miniblog.
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An incredible 2,200 commit series that organises headers in the Linux kernel and cuts incremental build times in half: https://lwn.net/ml/linux-kernel/YdIfz+LMewetSaEB@gmail.com/
The docs for autochrome are incredible. It's just a readme.clj file, so the worked example is just running the library inline!
No screenshots, just perfect HTML. The stdlib functions in the examples are even linkified.
When I look at incredible code completion tools like TabNine (using deep learning), I'm not surprised that JetBrains is focusing more on ML techniques in their IDEs!
https://www.tabnine.com/blog/deep/
https://www.infoworld.com/article/3518429/jetbrains-taps-machine-learning-for-full-line-code-completion.html