Born Against, or why hobby programming communities are against LLM usage
This article examines the growing resistance within niche hobbyist programming communities toward the use of Large Language Models. It argues that these communities value the process of learning and mastery over the final output, viewing LLMs as a shortcut that undermines their core values.
Why it matters
It highlights a cultural clash between traditional software engineering craftsmanship and the rapid automation provided by generative AI.
I came across a GH thread related to chess engine development that made me think of why hobby programming communities are increasingly hostile toward LLM development. While the thread doesn’t give a lot of insight into answering the question, it prompted me to think about it a bit. I’ve seen similar sentiments expressed in other niche hobby programming communities like OSDev, LangDev, TxtDev, EmuDev, RLDev, the demoscene, and code golfers. The general consensus seems to be that the knowledge that these communities work in is hard-fought and the use of LLMs is a form of missing the point entirely. In these communities (keep in mind that there is an implicit “not all…” throughout) the process of mastering a difficult field itself is the product, and something that runs is generally a nice-to-have.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in