I
attempt to use LLMs in coding tasks many times a day, the capability is there: Opus can make and execute a plan, GPT-4 can find and fix a few persistent typographical errors when Opus attempts verbatim output, and Dolphin-8x7 (or a bunch of other consistently candid models) can de-noise out the static interference from the Morality Police over-aligment.
For a long time it’s been about extravagances like the ability to recover from a lost session, or get a link queried and used as context, or do a reset of the slowly but inevitably corrupted state without losing all of your painstaking assembled point in some abstract state space.
Basic product building on the core LLM experience is way more important than incremental improvements on LLMs, I’d take robustness, consistency, and revision control over an LLM breakthrough, a chat bot session is a tech demo if I lose my work with my browser tab.
These folks get it, I agree.