Episode 17: Agentic Architectures: Building AI Apps that Think and Scale
AI applications are evolving from simple prompt-driven tools into agentic systems, intelligent applications that can reason, act, and adapt. But as builders race to bring these apps to market, the same questions keep coming up: What should we build ourselves? What should we leverage from the ecosystem? And how do we operate these apps as a managed service at scale? In this session, our guests unpack the architectural patterns, design choices, and deployment models shaping the next wave of agentic innovation. From front-end frameworks like Vercel + Next.js, to AWS-native AI services, to control planes that automate everything between, this is a blueprint for taking your Agentic App from prototype to managed platform.
Timestamps
00:00Welcome & Setting the Stage: Agentic Future of SaaS04:15What Is MCP? Building Human-Language APIs10:30Data Privacy, Speed & Human in the Loop17:45Architecting the Future: Frontend to Backend Evolution24:50AI Compute Meets Data Sovereignty32:10Disposable SaaS & the Rise of Fast-Fashion Software38:25Agentic Architectures & Personalized Applications45:10Data as the Ultimate Moat in the Agentic Economy51:00New AI Tools & Discoveries of the Week55:10Closing Thoughts: The CLI Comeback & The Future of WorkflowsRelated Episodes

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