The capacity conundrum here is very unique. Similar to pareto optimization principle:

=> 80% of engineering problems == budget models like gpt-mini can handle.

=> 15% of complex reasoning, vibe coding == frontier models like Opus, still sustainable.

=> 5% of 'really complex enterprise grade reasoning' == need massive tokens, impossible at scale unless pockets are deep.

And how do I make a blueberry pie?