The second problem is the escape latch story, how do people customize beyond the functions when they inevitably reach that point. If you haven't hit this, you haven't built complex enough applications yet with your framework.
The elephant in the room is, why this instead of Ai? (I personally have an answer to this question, in the scope of my take on the framework described in your post)
Also true, suppose one would have to basically make it support basically full nodejs code? I wonder how restricting AWS Lambda gets, once you start building something complex.
Why instead of AI? I started thinking about this more because of AI, if you have a clear definition of your backend, with solid primitives, that can just get deployed at each commit, without much concern for the infra and such, this makes it easier to slop your way through features?
I already built this same thing with CUE as the DSL. So (1) my questions come from experience (2) the LLMs already know CUE because it has been around longer and it's in their training data