CallMeAl (Not AI)

alias la=‘ls -lAhF’

My work gave me a choice of a chromebook or a windows laptop when I started since the company uses the Google stack for everything.

I asked if I could get a high end chromebook and it was approved. Its easy to install linux apps in the dev container and they run seamlessly with the the chrome apps on the desktop and the window manager has multiple desktops (which is how I like to do things). Since I have to use Gmail and Google Docs for work anyway, the chromebook is really not bad and much better than having to use Windows.

Yes, 100 projects from the Fat Head would make sense.

Do you have any way to establish that these 100 more often come from the Long Tail?

If an app includes 50 well-known big projects and 1000 small projects, the sum result can still be that small projects make up for a large fraction of the code.

I understand your point that this is possible. It is an assumption to assume it is most likely the case however.

I would expect the Fat Head of most used open source projects to make up the vast majority of the open source code included in apps. It is not a common practice to include 1000 small projects into a code base for an app, or even 100.

Is it not reasonable then to expect that the 77% of app code from open source is because the most popular app building blocks are open source? Aren’t the popular open source languages, frameworks, and databases are themselves big enough to exceed the number lines of internally written code for the app business logic most of the time?

For example, if I make a “small” electron app its going to be 90% or more open source because the electron base is so large already.

The insight that a majority of open source projects are small contributions by hobby developers, and that it is their summed joint effort what matters, is very interesting.

The vast majority of open source projects are by hobby developers but how much of those projects make up the 77% of the open source included in apps mentioned in the study?

The author assumes an even distribution but I challenge that.

The most popular (Top listed by Github, Gitlab, etc) open source languages (python, typescript, etc), frameworks (rails, flutter, react, etc), and databases (postgres, mongo, redis etc) are all either directly corporately funded (Google, Microsoft, Meta, etc) and/or have robust foundations and sustainability plans.

I would expect these to make up the vast majority of the open source code in modern apps.

we had it back in the day https://en.wikipedia.org/wiki/ZipSlack

A young broke me once spent 3 weeks after school each day in 1994 downloading slackware floppy images from my Dad’s AOL account via modem so I could try it on my 386.

cat sends its error via stderr so it won’t go into the pipe (or grep). you will see the cat error on your terminal, unless you have redirected stderr to stdout