Alen Joy

I think we're pointing at the same instinct from different layers. Get observability in early and most "we need to scale" problems turn out to be "we couldn't see what was actually happening" problems. The piece argues that's doubly true for agents, where the failures are silent and semantic rather than a slow query or a 500.

The irony is "do more" and "know what it's doing" have to scale together. More autonomy means more room for a silent wrong decision. Without observability, you're just shipping confidence you can't verify

Thank you for sharing this perspective. I agree that building agentic AI is as much about software architecture, reliability, observability, and security as it is about the model itself. In production, the surrounding system often matters more than the LLM alone.