Why is this reassuring?
Why won't smarter and cheaper models in the future be able to automate this part for your manager as well? How novel is the feature set? Is it he has a knowledge gap or the model is incapable of something? What expertise are you bringing to bear that is beyond the scope of a future harness/model? Why wouldn't such a model simply fill in the blanks for your management, perhaps observing a diff of whatever you did? How do you verify the correctness of your thinking? Why could a future model not replicate this process?
I am just very puzzled by these sort of takes as we approach the end of 2026.
We can speculate about the capability of AI models in 10 years all we want. Currently; It's not good enough for the task.
Taking a visual proof-of-concept and turning it into a real product with integration to an existing complex system requires the developer to re-do a-lot of the work. And reading code; especially AI code someone-else wrote, is a miserable experience.
Because smarter for an LLM isn't operating on the same scale as human intelligence
Making a calculator a billion times "smarter" isn't going to make it able to wash dishes
Why isn't a LLM as smart as a human? Therein lies your problem.
I'm not saying Its reassuring, and I think all your points are valid.
The only difference right now between my manager getting this claude design web app to production are the infrastructure and interfacing with it.
To get to prod it has to go through our monorepo pipeline, which currently requires using a cli, using a cli/command prompt requires using terminal, getting claude to use terminal also requires you to even know what a terminal is and spawning claude in there. Steering claude to do all that without knowing what or how to use a terminal is, and setting up your environment still all requires some technical knowledge or the language to tell claude to do that.
That's just getting to production. What about getting the claude design which is in a web environment without any context of all that monorepo with all its backend services. So all the interactivity that are all faked or mocked. Has to be converted to a real react components that's actually wired to the Rest API. How do you get the manager to speak to claude to do all that, with claude only being on the claude design harness?
What if manager designed a new feature that the backend service doesn't support? now your asking to make changes on the backend too.
So I think your points are valid that sure we may get to this at some point. But how exactly without the manager having to learn some technical language of steering claude and the infrastructure to support it.