I spent weeks "Hardening" my AI agents. I’m reasonably sure I’ve moved past scripts—but what I found in the architecture was... unexpected.

Dev.to AI
Generative AI

I built a context engineering platform to help create agents but there was one problem: it only wrote scripts. They worked, mostly with an already built architecture like Claude Code. Claude Code then upgraded to where you could describe the agent you wanted to build but only within the platform. But there was always this underlying doubt. My "agents" felt like fragile, high-maintenance roommates - smart enough to do the work, but prone to silent failures and "brain fog" the moment the platform changed (same agents deployed in Gemini were even less effective.