#CaseStudy: Moving from a simple chatbot ⇨ a network of specialized agent swarms
#CaseStudy: Moving from a simple chatbot ⇨ a network of specialized agent swarms
In this InfoQ video, Paulo Arruda goes behind the scenes of #Shopify’s AI evolution - the “messy reality” of building & shipping agentic systems at scale.
What’s inside: • Key design decisions • Unexpected failures • Practical lessons from real-world adoption of multi-agent architectures
🎬 Watch now: https://bit.ly/493n7mR
📄 #transcript included
What I Learned Building Multi-Agent Systems From Scratch
Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.
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