Curious to hear from experienced developers and AI power users in 2026. What does your AI orchestration stack look like across key layers such as orchestration frameworks, model routing, memory and state management, tool integration, observability, and infrastructure? What tradeoffs or advantages led you to those choices, especially around reliability, scalability, governance, and cost?
Your honest input can make this the most valuable resource in the community. Share what you know.