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AI Engineer session on Agentic GraphRAG: AI’s Logical Edge, presented by Stephen Chin, Neo4j. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data, presented by Zach Blumenfeld. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on CIAM for AI: Authn/Authz for Agents, presented by Michael Grinich, CEO of WorkOS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Full Spec MCP: Hidden Capabilities of the MCP spec, presented by Harald Kirschner, Microsoft/VSCode. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on MCP Is Not Good Yet, presented by David Cramer, Sentry. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on [Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai, presented by Nick Nisi, Zack Proser. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Securing Agents with Open Standards, presented by Bobby Tiernay and Kam Sween, Auth0. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The emerging skillset of wielding coding agents, presented by Beyang Liu, Sourcegraph / Amp. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Collaborating with Agents in your Software Dev Workflow - Jon Peck & Christopher Harrison, Microsoft. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Don’t get one-shotted: Use AI to test, review, merge, and deploy code, presented by Tomas Reimers, Graphite. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Shipping an Enterprise Voice AI Agent in 100 Days - Peter Bar, Intercom Fin. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Ship it! Building Production Ready Agents, presented by Mike Chambers, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Events are the Wrong Abstraction for Your AI Agents - Mason Egger, Temporal.io. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How agents will unlock the $500B promise of AI - Donald Hruska, Retool. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Claude Code & the evolution of agentic coding, presented by Boris Cherny, Anthropic. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Code First AI Agents with Azure AI Agent Service, presented by Cedric Vidal, Microsoft. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents, presented by Daniel Han. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Training Agentic Reasoners, presented by Will Brown, Prime Intellect. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Introducing Strands Agents, an Open Source AI Agents SDK, presented by Suman Debnath, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Containing Agent Chaos, presented by Solomon Hykes, Dagger. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The rise of the agentic economy on the shoulders of MCP, presented by Jan Curn, Apify. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on MCP is all you need, presented by Samuel Colvin, Pydantic. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on UX Design Principles for Semi Autonomous Multi Agent Systems, presented by Victor Dibia, Microsoft. It adds practical context for how teams are building and operating AI systems in production.