Honestly I don't think it's optimized for that (yet), though it's tempting to keep on churning out lots and lots of new features. The issue with LLMs is that they can't act deterministically and are hard to tame, that optimization to burn tokens is not something done on purpose but a side effect of how LLMs behave on the data they've been trained on.