AI-native Architecture
Two teams can deploy the exact same model and walk away with completely different results. The model is innocent. The architecture is not.
Agentic AI has very little patience for tacit knowledge, implicit assumptions, or “it has historical reasons.” It forces us to externalize our thinking, formalize our decisions, and make their reasoning explicit. In other words, it demands grown-up engineering.
At scale, modern product development needs AI-native architectural practices: evolvable contexts, collaborative (AI and human agents) design, and reliable governance.
And here’s the part I’ve personally waited years for: AI finally makes it feasible to replicate the engineering reasoning of top architects -consistently, traceably, and at a cost that doesn’t require cloning them. In this session, I’ll share practical fragments of what I believe is the next evolutionary step for our discipline: a real AI-native Architecture Capability.