AI has been working out well for me writing Clojure, both in personal projects and at work. Documentation, not so much... I write all that by hand.

For Biff I've been using AI to generate a rough draft of all the code and then I take a manual pass over things before releasing. Seems to be a good middle ground.

This is a bit of an "XY Problem" question.

I have migrated all my code to Gleam, FE and BE, Bun, browser, and BEAM.

Claude knows much less about Gleam than it does about Javascript or React. However the constraints of Gleam and its Elm inspired framework Lustre are so strong, Claude gives me much better results.

The only difference is I need to adjust my initial guidance.

Last year, I thought it was awful. Even Opus would reliably unbalance parentheses on practically every edit and then enter a doom spiral of making things worse as it tried to figure out the right place to put a `)`.

Recently, I’ve been quite impressed, at least with Claude. At some point they figured out the parens issue, and the code is largely solid and idiomatic. I’ve mostly used it with Polylith apps, so the context for any given change is naturally well-defined. Usual issues with failing to reuse existing functions or make sound decisions about architecture, but no more so than I’ve seen with TypeScript or Rust.

I think there are a few points in its favour: it’s a very concise language, the documentation is terse but precise and comprehensive, and while there’s obviously nowhere near as much Clojure out there as there is JavaScript or Python, there is a lot. As the Clojure demographic skews toward experienced, senior programmers, I’d guess the quality of that corpus is probably well above average.

Java stack trace errors might even be an advantage now.

AI is very good at Clojure. In fact, from what I can see, I get a much better experience on a large Clojure+ClojureScript code base than many other people. Surprisingly so. I'm still not sure why, is it higher token density of the language? My experience? Large, well-written and well-maintained code base to lean on as context? In any case, the experience so far has been excellent.