Or: depth-first search of the solution space vs breadth-first (or balanced) search of the solution space.

> Of course you can ask your agent to try several different things and pick the best, or ask it to recommend architectural improvements that would make a given change easier

The ideal solution increasingly seems to be encoding everything that differentiates a good engineer from a bad engineer into your prompt.

But at that point the LLM isn’t really the model as much as the medium. And I have some doubts that LLMs are the ideal medium for encoding expertise.