Wow, oddly similar thing happened to me. Anecdotally, I was working with a non-developer. She was building a reporting dashboard with Claude. I pointed out that the system she built was using the filesystem to store one line notes about the report, and I said "I would probably tell the agent to use a database for that, but it's not the end of the world if it works". And she replied "Claude said the developer's right, a database would be a better fit..."
So, a non-developer, who has no understanding of the underlying systems they are working with, fact-checked a developer with years of experience.
I'm not against fact checking, but it absolutely felt like a punch in the gut coming from a non-dev. There was no "trust" there. She couldn't rely on my expertise, she had to go back to her "source of truth" (Claude) and asked for a second opinion on something that she wouldn't be able to verify.
This is why collaboration exists. I trust my colleagues to give me insight+advice on things that I do not know. I don't ask AI to vet their decisions, because at some level there are judgement calls, and I WANT to trust them because it makes my life easier.
Treating AI as if the output is factual is just a misuse of the tools, I think. It's significantly more effective when given expert direction and the output can be verified by... an expert.
So, a non-developer, who has no understanding of the underlying systems they are working with, fact-checked a developer with years of experience.
I'm not against fact checking, but it absolutely felt like a punch in the gut coming from a non-dev. There was no "trust" there. She couldn't rely on my expertise, she had to go back to her "source of truth" (Claude) and asked for a second opinion on something that she wouldn't be able to verify.
This is why collaboration exists. I trust my colleagues to give me insight+advice on things that I do not know. I don't ask AI to vet their decisions, because at some level there are judgement calls, and I WANT to trust them because it makes my life easier.
Treating AI as if the output is factual is just a misuse of the tools, I think. It's significantly more effective when given expert direction and the output can be verified by... an expert.