The AI Agent Stack in 2026
In 2026 the AI agent architecture has evolved from a linear stack to an operating‑system‑like model. Agents now surface across IDEs, Slack, browsers, dashboards and approval queues, turning the interface into a distinct top layer. Coding harnesses such as Claude Code, Cursor and Replit Agent embed the full agent loop, while standardized protocols like MCP and A2A decouple tools, knowledge and memory. Observability and governance have become vertical rails that span every layer, ensuring production‑grade reliability and security.
Problem Comes First: Why the Best AI Demos Don't Start With AI
The fifth Demo Day of the GenAI System Design course showcased 26 one‑week AI projects built around real‑world problems, from men’s mental‑health check‑ins to accessible mail extraction. Organizers emphasized a problem‑first mindset, arguing that starting with an AI solution creates...