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MongoDB's head of AI platform Chirag Shah breaks down why production agents fail without dedicated memory and context architecture. He explains how MongoDB built Atlas Agent Engine, why teams are over-indexing on LLM selection, and how multi-agent architectures are replacing traditional full-stack software. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.
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Timestamps:
(00:00) Introduction
(01:03) Deploying AI Agents in Production
(04:26) Types of Agent Memory Explained
(06:48) Introducing Atlas Agent Engine
(12:19) The Future of Shared Memory
(15:51) The Death of Full-Stack Backends
(18:04) Stop Overthinking Your LLM Choice
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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.
