Cook a meal, yes. "How you'd like it", no. You have to use the languages that have a large enough presence in its training set that it knows them well, and ditt

Cook a meal, yes. "How you'd like it", no. You have to use the languages that have a large enough presence in its training set that it knows them well, and ditto for frameworks and libraries. Once you step out of that zone, quality rapidly plummets. "Does it in seconds" is kinda true if you ignore the "supervised by you" part. That part - reading through the generated diffs to catch (sometimes very subtle) errors - can take a while. And sure, you'd have the same problem with the intern. But the intern learns from you. The LLM will make the same mistakes again in the same circumstances. Yes, I know they do have memory now, but it my experience that RAG-based stuff is not particularly reliable. I suspect this might improve once hardware is fast enough that you can use a (smallish) helper LLM for RAG with reasonable perf, but we aren't quite there yet.