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Discussion (8 Comments)Read Original on HackerNews
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At least so far, the impact of LLMs has been overall positive for RC. We have a big-tent community, which includes everyone from those who avoid LLMs at all costs to those who are all-in on them, and everyone in between. We have folks who come to our retreats with the explicit goal of not programming with LLMs[1] (usually because they've been using them extensively at their previous jobs) and others who use RC as an opportunity to learn how to program effectively with AI. There's also a lot of discussion here about how (and to what extent) to use LLMs effectively in the context of learning.
We wrote up our position on AI last July, and while a lot has changed since then, I think all our conclusions still hold up well[2]: "...whether you choose to embrace or avoid AI in your work at RC, you will need to build your own mental structures to grow as a programmer. When using AI, use it to amplify your ambitions, not to abdicate your agency. And regardless of what you do, be curious about and kind to the people around you."
Like everyone else, I have no idea what the future holds, but I'm confident we'll find a way to navigate it. I'm sure I have some motivated reasoning here, but I really do believe that humans will still want to understand and build things no matter how good the models get.
[1] https://miguelconner.substack.com/p/im-coding-by-hand
[2] https://www.recurse.com/blog/191-developing-our-position-on-...