The problem with formal prompting languages is they assume the bottleneck is ambiguity in the prompt. In my experience building agents, the bottleneck is actually the model's context understanding. Same precise prompt, wildly different results depending on what else is in the context window. Formalizing the prompt doesn't help if the model builds the wrong internal representation of your codebase. That said curious to see where this goes.