Claude is really good at specific analysis, but really terrible at open-ended problems. "Hey claude, I get this error message: ", and it'll often find the root cause quicker than I could. "Hey claude, anything I could do to improve Y?", and it'll struggle beyond the basics that a linter might suggest. It suggested enthusiastically a library for and it was all " Recommended " about it, but when I pointed out that the…
This is a key part of the AI love/hate flame war. Very easy to write it off when it spins out on the open-ended problems, without seeing just how effective it can be once you zoom in. Of course, zooming in that far gives back some of the promised gains. Edit: typo
The love/hate flame war continues because the LLM companies aren't selling you on this. The hype is all about "this tech will enable non-experts to do things they couldn't do before" not "this tech will help already existing experts with their specific niche," hence the disconnect between the sales hype and reality.
If OpenAI, Anthropic, Google, etc. were all honest and tempered their own hype and misleading marketing, I doubt there would even be a flame war. The marketing hype is "this will replace employees" without the required fine print of "this tool still needs to be operated by an expert in the field and not your average non technical manager."