There's an odd trend with these sorts of posts where the author claims to have had some transformative change in their workflow brought upon by LLM coding tools, but also seemingly has nothing to show for it. To me, using the most recent ChatGPT Codex (5.3 on "Extra High" reasoning), it's incredibly obvious that while these tools are surprisingly good at doing repetitive or locally-scoped tasks, they immediately fall…
The pattern matching and absence or real thinking is still strong. Tried to move some excel generation logic from epplus to closedxml library. ClosedXml has basically the same API so the conversion was successful. Not a one-shot but relatively easy with a few manual edits. But closedxml has no batch operations (like apply style to the entire column): the api is there but internal implementation is on cell after cell…
Yeah I have the same problem where it always uses smart quotes which messes up my compile. 8 told ChatGPT not to use them but it keeps doing it.