Impressive looking project generated with AI help. Have similar goals of having an artifacts system myself.

I think the approach of multi-format, multi-UI, and new (to you) programming language isn't optimal even with AI help. Any mistake that is made in the API design or internal architecture will impact time and cost since everything will need to be refactored and tested.

The approach I'm trying to take for my own projects is to create a polished vertical slice and then ask the AI to replicate it for other formats / vertical slices. Are there any immediate use cases to even use and maintain a UI?

So a few comments on the code:

- feature claims rate limiting, but the code seems unused other than in unit tests... if so why wasn't this dead code detected?

- should probably follow Google/Buf style guide on protos and directory structure for them

- besides protos, we probably need to rely more on openapi spec as well for code generation to save on AI costs, I see openapi spec was only used as task input for the AI?

- if the AI isn't writing a postgres replacement for us, why have it write anything to do with auth as well? perhaps have setup instructions to use something like Keycloak or the Ory system?