ToolsThe story, in brief
Presentation: What I Learned Building Multi-Agent Systems From Scratch
Shopify slashed task times from hours to minutes. Here's how they rebuilt their AI stack around agent microservices.
The KeyNews take
Why it matters
Shopify's shift from monolithic prompts to specialized agent swarms represents a real deployment pattern that other enterprises are racing to replicate. The filesystem adapter innovation signals where production multi-agent architectures are heading.
The key facts
5 to knowShopify transitioned from all-in-one prompts to specialized agent microservices
Task execution time reduced from hours to minutes
Filesystem-based adapters proposed as solution for context bloat
Presentation focuses on practical lessons from production multi-agent deployment
Speaker: Paulo Arruda (Shopify)
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: 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…