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AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

Not a pilot. monday.com deployed AI agents across production engineering at scale—9 in 10 engineers now using AI coding tools monthly, PR throughput up 50%.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

monday.com is running agentic AI in production at meaningful scale on Amazon Bedrock, demonstrating how mature engineering orgs are moving past experimentation to real deployment. The confidence-scored merge mechanism and decade-old codebase retrofits offer a blueprint for enterprise AI agent adoption.

The key facts

6 to know
  1. 9 in 10 monday.com engineers use AI coding tools monthly (up from ~50% a year ago)

  2. Per-engineer PR throughput increased by more than 50%

  3. Production deployment of AI agents on Amazon Bedrock at scale

  4. Confidence-scored merge mechanism for autonomous code changes

  5. Retrofitted decade-old codebase for agentic AI integration

  6. Data sourced from monday.com's own internal production metrics

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher 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…
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