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Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-determinist…

AgentsQCon AI Boston 2026AI ArchitectureAI SecurityModel Context Protocol (MCP)Agentic AI ArchitectureAI Cost OptimisationSemantic WebLarge language modelsData MeshTranscriptsAI, ML & Data EngineeringArchitecture & DesignDevelopmentpresentation
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Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering

Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical conte…

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Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents

Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combin…

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Article: An Evolutionary Architecture Pattern for Managing AI’s Pace of Change

Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leade…

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Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents

Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying A…

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How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone

DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-…

MemoryPlatform EngineeringModel Context Protocol (MCP)Retrieval-Augmented GenerationDistributed SystemsArtificial IntelligenceChatBotsNatural Language ProcessingLarge language modelsPrompt EngineeringAgentsMicroservicesArchitecture & DesignDevelopmentAI, ML & Data Engineeringnews
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