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Future of AI Agents with Andrew Ng | Interrupt 26","description":"Andrew Ng sat down with Harrison Chase for a wide-ranging fireside chat at Interrupt, the agent conference by LangChain. \n\nWatch the full session and get insights on: \n- How fast coding agents have evolved and how the way small teams ship is being reshaped\n- The \"product management bottleneck\" and why accelerating software development just moves the constraint somewhere else\n- How enterprises are getting incremental AI wins but missing the bigger transformation\n- The data architecture rework most companies haven't started yet\n...and so much more\n\nThe Future of AI Agents with Andrew NG | Interrupt 26\n0:00 Welcome and intro\n0:39 What surprised Andrew most in the past year\n1:06 The rise of coding agents\n2:01 The product management bottleneck\n4:50 What background do these new generalist engineers come from\n6:02 How to get into AI software engineering\n7:50 Building blocks, LEGO bricks, and combinatorial development\n8:34 Context Hub and keeping agents up to date\n9:50 DeepLearning.AI, LangChain, and short courses\n10:05 How education is changing with AI\n11:46 LearnDream.ai and interactive learning\n13:29 Enterprise AI adoption: what's working and what isn't\n14:46 The loan underwriting example\n16:44 Cost savings vs. driving growth\n17:11 Good examples of AI driving business growth\n18:27 Measuring ROI\n19:07 Swinging for the fences vs. incremental gains\n22:00 Forward deployed engineers: hype vs. reality\n23:01 Vendor lock-in and preserving optionality\n25:04 LangSmith as a vendor-neutral layer\n25:27 Open source and open-weight models\n26:38 Data strategy before building agents\n28:17 Unstructured data and the coming rearchitecture\n31:22 Closing thoughts\n\nExtra resources:\n\u2022 Everything we shipped at Interrupt: https:\/\/www.langchain.com\/blog\/interrupt-2026-overview\n\u2022 Meet LangSmith Engine: https:\/\/www.langchain.com\/blog\/introducing-langsmith-engine\n\u2022 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