CallMeAl (Not AI)

I agree with the idea of debloating and hardening your systems.

It helps to have some context as the approach I would take depends on what kind of system I’m running. I think its also good to identify your priorities to hone your approach.

When I want stability, fast security updates, minimal install size, I usually use Alpine which indeed uses the lighter busybox bin/sh instead of bash.

When it comes to my workstation shell I’m more focused on utility than size. So bash or zsh or fish, or whatever you find the most useful, makes sense to use.

I’ve been using EXT4 and XFS on external drives for a long time with no issues. Both are rock solid under linux and steam.

Perfect for those late night Zork sessions!

it happens all the time in bash. i write some and there’s no error but everyone complains that i didn’t use brainfuck

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