I'm personally not convinced. I mainly use LLMs for research I would have otherwise done using search and vibe coding experiments (so that I can properly address people / pull requests in the job).

For the former, I do think that good prompt formulation helps, and personally I should give much more thought to my prompts, because I find I have to redo them too often. However, I do worry that if we're de-naturalizing language too much in this interface, that the goal of having a natural language interface is shifting: we're adopting to inferior tech?

For vibe coding stuff, now that I've built a framework to instruct the bot how to handle things, and depending on the implementation used of course, I find that I can short-hand prompt and do most of the work outside of the prompt in issue management. Specifically with Claude, prompting becomes "propose a fix/solution for issue/feature request <a>" or "implement the proposal from issue <a>", which technically I could trigger automatically. I can't help but feel that with persistent comms (like on github between humans) this is a longer term viable solution for software development than doing everything in a prompt.