Sure some world knowledge like things are affected by gravity, how people function, how a society function I think is needed for a coding AI but not trivia.

Words that are or were fairly common in tech circles — "bailiwick", "gatekeeper", "daemon", "boundary", "infer", "method".

It's true to say that most of these words have some specific meanings in tech, but you don't necessarily want the LLM to have only those narrow meanings when you are talking to it. A broader grasp of the word means the LLM won't go down a specific pathway before understanding you. That broader grasp comes from non-programming understanding.

The Opus frontier model will spin up a cheaper Sonnet subagent to explore the code base. Similarly we can have a Pareto optimal subagent write most code or verify it.