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I'm not normally a fan of the NYT but this wasn't too bad. It passed the Gel-Mann test, and is clearly written by someone who knows the field well, even though
by igor47 7mo ago
I'm not normally a fan of the NYT but this wasn't too bad. It passed the Gel-Mann test, and is clearly written by someone who knows the field well, even though the selection of quotes skews to towards outliers -- I think Yeggie for instance is pretty far out of the mainstream in his views on LLMs, whether ahead or sideways.
As a result a lot of the responses here are either quibbles or cope disguised as personal anecdotes. I'm pretty worried about the impact of the LLMs too, but if you're not getting use out of them while coding, I really do think the problem is you.
Since people always want examples, I'll link to a PR in my current hobby project, which Claude code helped me complete in days instead of weeks. https://github.com/igor47/csheet/pull/68 https://github.com/igor47/csheet/pull/68 Though this PR creates a bunch of tables, routes, services -- it's not just greenfield CRUD work. We're figuring out how to model a complicated domain (the rules to DnD 5e, including the 2014 and the 2024 revisions of those rules), integrating with existing code, thinking through complex integrations including with LLMs at run time. Claude is writing almost all the code, I'm just steering
- colkassad 7mo agoI've found LLMs to be extremely powerful in research projects. A lot of code related to research is very bespoke by its nature. Using Codex, I've been able to iterate on ideas that I would never had the time or courage to explore before. As for code quality/brevity, it doesn't really matter in this context as long as it works. And it's incredible to have this companion that understands broadly every aspect of tangential knowledge required to execute an idea. I do think it helps that I have over 25 years of experience in my domain (geospatial), which helps me guardrail my interactions and get good results in as few shots as possible.