AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
Quick Answer
monday.com leverages Amazon Bedrock to run AI agents at scale, achieving over 50% increase in per-engineer PR throughput.
Quick Take
Their architecture integrates multiple AWS services, enabling seamless collaboration between human engineers and AI teammates across a decade-old code base.
Key Points
- 90% of Builders use AI coding tools monthly, up from 50% last year.
- Three levels of AI engineering: assistant, skills/sub-agents, and .
- Agents operate within a unified system, responding to Slack, monday, and GitHub events.
- Utilizes seven AWS services including SNS, SQS, and EKS for event handling.
- monday-agent-sdk wraps Claude Agent SDK for provider neutrality and performance.
Source Excerpt
AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday. com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from monday’s own internal production data. In this post, we share the architecture behind those numbers, the retrofits that made it work in a decade-old code base, and the confidence-scored
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