We leveraged this same approach here using the same OpenAPI JSON to generate boilerplate C# code for registering and wiring up all endpoints within the serverless codebase. Interfaces are generated for each controller with a function for each action. Functions only need to be implemented as necessary for the systems that are required in the offline game.
The alternative, push-button solvers that return a binary pass or fail with no intermediate state, gives AI nothing to learn from and no way to guide the search. Worse, proofs that rely on heuristic solvers often break when the solver updates or when developers make small changes to how they write their specifications, even when the changes are logically equivalent. You cannot build a reliable AI pipeline on a foundation that is not reproducible. (I discuss this in detail in a recent Stanford talk.)
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