While walking my dog on leash some years back, we were surrounded and stalked by 5 very hungry coyotes (it was a drought year and they were very scrawny) for about 20 minutes.
They got increasingly more bold, eventually only just out of kicking range. As I would charge and threaten the one or two in front of me, the others would try to approach from behind. We were being hunted.
All this while carrying my dog (they definitely would have killed him if he were on the ground) and wearing flip flops.
This was in Santa Cruz, late in the summer, at dusk. Terrifying. They tracked us all the way back to the car, but once I found a good stick they became much less daring.
FWIW for C only I've used libtcc repo.or.cz/w/tinycc.git with great success. The API is a joy, as we all expect from a Bellard project. It focuses on compilation speed, the generated code is not at all optimized.
For me, one of the enjoyable aspects of toy projects is that there is no schedule to meet. Which means that I can take my time. And yes, that means I take much more time than the article implies. As an examine, I've been polishing my PEG-based Turing complete language (which features both AOT-to-C and a fully featured repl) since COVID was a daily aspect of life.
I've found Jason Ricci to be a most useful source as well. Adam Gussow, Tom Leckie, Will Wilde, and Howard Levy all have recommended YouTube content.
I haven't checked out the app, but certainly plan to in order to fine tune my scales (major/minor penatonic, blues, and a few more).
By the way, once you get 2nd position major pentatonic those same notes are 5th position minor penatonic (albeit with a different starting notes). Same for 1st major and 4th minor, and 12 major and 3rd minor.
Hmm, but speculation is so easy and sampling is anything but. Some of Einstein's speculations were pretty damn productive. The later experiments aka samplings (Einstein proved right again!) were in my view not particularly productive.