Al Chen, a field engineer at Galileo, created a system using Claude Code to answer complex customer questions. He combined data from 15 separate repositories, Confluence documentation, and customer-specific quirks to deliver hyper-personalized answers.
Chen used a simple 16-line script written by Claude Code to pull the latest main branch across all his repositories, keeping his context current. This allowed him to empower customer-facing teams to query the codebase directly, reducing engineering interruptions to near-zero.
The system uses "customer quirks" to create hyper-personalized deployment guides for each customer. Chen's solution has led to a decrease in documentation reliance and an increase in using AI-driven workflows for reactive Slack support.
