Yep, for sure. And it's easy to be too open in tech - constantly chasing the new shiny framework or language or library (which I'm frequently guilty of). But a lot of times the right answer is to stick with what has been battle tested and what you're productive in.

Indeed. There's an inevitable trade-off between looking for a better approach and simply executing with what you have. (cf machine learning)

Suppose my boss asks me to find a good Thai restaurant for lunch. If I'm new to the area, I'll be very "open" and spend a lot of time looking into the possibilities, etc. If I have a lot of experience eating at Thai places in town, I'll be less open. I already know the best one out of a substantial set, and it's less likely that I'll find a better one without a lot of work. Call it stagnation, or call it being careful with the company's money.