I Built an AI That Understands My Team’s Emotions From Our Commits and Messages
Last Updated on December 9, 2025 by Editorial Team
Author(s): Manash Pratim
Originally published on Towards AI.
I Built an AI That Understands My Team’s Emotions From Our Commits and Messages
I built an AI that analyzes commits, PR reviews, and Slack messages to detect emotional drift and burnout in engineering teams. Using vector-drift embeddings and a fine-tuned LLaMA model, it learned to read the subtext beneath our communication and the results shocked me.

The article discusses the creation of an AI designed to analyze emotional cues from team communications, highlighting the importance of recognizing emotional drift and burnout in engineering. It explores the experiment’s findings, showcasing how the AI successfully identified patterns of emotional withdrawal in team members and emphasized the need for empathy alongside technical expertise in team management, shifting the focus from mere performance metrics to understanding human emotional dynamics in software development.
Read the full blog for free on Medium.
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