quil VS geom

We’re pleased to announce Quil version 4.3.1323, the first general release of Quil in four years! You can find the jar at Clojars and the release notes at Github. Thanks to Clojurists Together for sponsoring this work! :)

The quick run speed is great for shortening the feedback loop. I've had great experiences with Lisp-style environments for that reason, and the language is much higher level than Rust while still offering good performance. I've mainly used Quil, the Clojure wrapper around processing: https://github.com/quil/quil

I can't seem to find any clear information on this, only bit and pieces on the repo https://github.com/quil/quil. It doesn't seem to get any updates and Processing 4 and Java 9, seems to brake. SO the project is dead right?

https://github.com/quil/quil (drawing)

Quil[0] repo has either a homage to _why, or _why has contributed the intro.

[0]: https://github.com/quil/quil

Maybe. I thought of using quil for my web enablement needs, but decided that with how few people know Clojurescript, I wouldn't be able to truly share the code in practice.

but if all your trying to do is get something running real quick using quil https://github.com/quil/quil/wiki/Installing

On the flip side, I got to read some of the Clojure source code, which was very educational. I also got to understand a bit more the usefulness of protocols (using defprotocol and defrecord to provide several implementations). Here it was very useful to read the source code of thi-ng/geom.

This would make sense if Knuth used literate programming primarily for academic papers. But in fact he created WEB for writing TeX and METAFONT, both of which (while their source code was published as a book later) were production systems, and in fact for several decades now he uses CWEB for all programs he writes, including several a week that he writes for himself. (Some of which are online at https://cs.stanford.edu/~knuth/programs.html .) In contrast, apart from the paper he wrote introducing LP, and the two Bentley columns about LP in CACM, I'm not aware of any other academic paper of his that presents programs — at any rate, the total number must be very small.

The goal is not an "academic paper"; his experience (and that of others who have seriously tried LP) is that it helps with actual writing of programs, less time spent debugging, etc.

Yes, there are challenges with two or more programmers, but nothing unsurmountable. See "Literate Programming on a Team Project" (https://www.cs.princeton.edu/techreports/1991/302.pdf coauthored by Norman Ramsey, who later developed noweb) and some stories like https://news.ycombinator.com/item?id=17484452 (and https://github.com/thi-ng/geom which went from LP to conventional).