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UID:pretalx-devconf-us-2025-CWMRFS@pretalx.devconf.info
DTSTART;TZID=EST:20250919T152000
DTEND;TZID=EST:20250919T155500
DESCRIPTION:As LLMs move into enterprise workflows\, developers face a new 
 kind of architecture challenge: how do you build reliable\, interpretable 
 systems powered by agents and reasoning?\n\nThis talk unpacks how we desig
 ned and implemented an AI orchestration framework for enterprise architect
 ure — combining LangGraph for multi-agent workflows\, Flyte for distribu
 ted execution\, and AWS Bedrock for LLM inference using Claude 3. The prod
 uct: an AI copilot for enterprise architects\, deeply rooted in your tech 
 stack context.\n\nAt the core of this system is a domain-specific **knowle
 dge graph** that acts as long-term memory for the agents. It enables persi
 stent\, structured representations of architectural state\, system depende
 ncies\, and business context — giving the agents the grounding they need
  to generate accurate recommendations\, translate natural language into SQ
 L or code\, and maintain continuity across workflows.\n\nWe’ll also cove
 r how we’ve integrated observability practices — including planned Ope
 nTelemetry instrumentation — to trace and debug autonomous AI systems in
  production.\n\nIf you’re a developer or AI engineer thinking beyond the
  chatbot and looking to embed reasoning into complex system design and dat
 a tasks\, this talk offers an end-to-end blueprint — from orchestration 
 and grounding to production monitoring.
DTSTAMP:20260311T011236Z
LOCATION:Ladd Room (Capacity 170)
SUMMARY:Building an AI Agent Orchestration Framework for Enterprise Archite
 cture with AWS Bedrock\, Flyte\, and LangGraph - Toufic Boubez
URL:https://pretalx.devconf.info/devconf-us-2025/talk/CWMRFS/
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