nostr:npub1ve7g5q4lsth9z6n39mt9sctj8708sxcn465ucm8m9fancgg02l3ql8ydyh nostr:npub1nq52crat03tppdmz5xnczxzuyx9qv3xjtrj5af2r5ug5r0tp3teqnvlyhk my own direct experience of using GPT for this is the same as the top of the thread though: its output is rarely even syntactically valid unless I’m asking it to regurgitate a tutorial’s examples directly. It has gotten me into the vicinity of a term that I could then look up in reference docs a few times, but asking it to _write code_ just doesn’t work unless a human being already wrote a very close analogue of the code I need and it’s in the training data
nostr:npub1ve7g5q4lsth9z6n39mt9sctj8708sxcn465ucm8m9fancgg02l3ql8ydyh nostr:npub1nq52crat03tppdmz5xnczxzuyx9qv3xjtrj5af2r5ug5r0tp3teqnvlyhk this is an unrelated use of the technology, but my personal experience is that they don’t function very well for this. When senior engineers use it we discover that the output is riddled with errors and it’d be faster to configure our editors to just generate any boilerplate that we need frequently. When junior engineers use it they produce code riddled with errors they’re not catching. If we’re lucky they’re just bugs and not vulnerabilities. https://gist.github.com/0xabad1dea/be18e11beb2e12433d93475d72016902
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