AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
AWS Machine Learning Claudio Mazzoni ● Covered by 2 sources
monday.com runs production AI agents on Amazon Bedrock at scale, with nine in ten engineers using AI coding tools monthly and per-engineer PR throughput up by more than 50%. The system uses three levels of AI integration (assistant, skills/sub-agents, and multi-agent), with agents like Atlas and Morphex operating as team members through unified inboxes (Slack, monday, GitHub) backed by seven AWS services. Key retrofits include eval layers before model upgrades, file-based memory instead of vector stores, remote sandboxes for testing, automated Guardrails for code standards, and shared monday boards for accountability, resulting in Morphex PRs merging autonomously at a 95% rate.
Why it matters
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 merge play closing the gap to full autonomy.
