Comment by postalcoder

In totality, yes. But you don't need every feature at once. You add to it once you hit boundaries. But I think the most important thing about this exercise is that you leave nothing to the imagination when building agents.

The non-deterministic nature of LLMs already makes the performance of agents so difficult to interpret. Building agents on top of code that you cannot mentally trace through leads to so much frustration when addressing model underperformance and failure.

It's hard to argue that after the dust settles, companies will default to batteries-included frameworks but, right now, a lot of people i've regretted adopting a large framework off the bat.