I've found it helpful to make an explicit delineation in the codebase for which interfaces I'm going to agonize over and refine and which I'm going to ignore.

One set goes into haxe files and I use reflaxe macros to write tiny compilers that generate docs, clients, servers, cli's, test cases, serializers and deserializers, etc in whatever language is appropriate. That leaves gaps, which the AI can then fill in.

So I iterate on the haxe stuff. If the AI is struggling to "draw the rest of the owl," I change the source of truth until it has enough guidance re: type related errors, failing tests, and documentation. As requirements change, these things change.

As for the rest of the owl, it's disposable. Every few months I'll delete it and have an AI rewrite it from scratch (now with a smarter model and better docs and API specs and tests to guide it). This keeps the cruft from accumulating while preserving human contact with the code.