AI Engineer September 2026 Meetup

Name: AI Engineer September 2026 Meetup
Start: 2026-09-09T21:00:00.000Z
End: 2026-09-10T00:00:00.000Z
Location: Industrious — T3 Building

Industrious — T3 Building, minneapolisWednesday, Sep 9 · 4:00 PM

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Doors 4:00 PM

The Story

**⚠️ NEW LOCATION — we've moved to Industrious in the North Loop** Starting this month, the Minneapolis AI Engineer Meetup has a new home: **Industrious, 323 N Washington Ave, Suite 200** — the 2nd floor of the T3 building in the North Loop. The A/V in the old Riverplace space had been fighting us for months, so we decided it was time to make the change. Please read the address block below before you head out — **there are two Industrious locations in Minneapolis**, and we're the one in the T3 building on N Washington Ave. **Two Talks on Production Agentic Systems** Two talks this month, both on what it takes to build and operate agentic systems for real. **Matt Rein — *One Agent Is Easy. Fifty Agents at 2 AM Is Not.*** A single model behind an API is a solved problem — monitor the endpoint, track your tokens, watch your latency. Production at enterprise scale is a multi-model serving platform across several clouds, with safety screening, prompt caching, embedding pipelines, model pools, and async billing all serving dozens of consumers at once, and the cause of a slow response might be a safety bottleneck three hops upstream or a cron job that evicted rate-limit keys from a shared Redis. Matt traces real failures from symptom to root cause on a live multi-cloud platform: instrumenting with OpenTelemetry so traces capture routing decisions, safety-screening latency, model-pool contention, and cache behavior; topology-aware dependency mapping across services that share compute, databases, and queues; and using causal analysis to connect a deployment to a failure four hops and fifteen minutes downstream. You'll leave knowing why the hardest bugs are the ones where every dashboard is green. Previously presented at Open Source North. **Anton Priborkin — *How We Built Pribo: Architecture of a Simplified Agentic Ecosystem*** Anton built Pribo after working with enterprise AI tools he found overcomplicated and scrappily assembled — the kind of apps that get cheer

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