Al Chen is a field engineer at Galileo, an observability platform for AI applications, where he works on the front lines with enterprise customers asking highly technical questions. Despite never having held an engineering role, Al has built a system using Claude Code to query Galileo’s 15 separate repositories, combine that with Confluence documentation and customer-specific quirks, and deliver hyper-personalized answers that would otherwise require constant engineering support.
What you’ll learn:
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In this episode, we cover:
(00:00) Introduction to Al Chen
(02:50) The problem: documentation wasn’t enough
(04:23) Pulling 15 repos into VS Code
(06:03) How Claude Code queries the entire codebase
(08:00) Why current code beats documentation
(08:31) The pull script that keeps everything updated
(09:54) Opening projects at the multi-repo level
(11:40) Live demo: answering deployment questions
(13:25) The customer quirks system
(15:00) Living in chaos: why organization matters less now
(17:03) Competing on customer experience, not just product
(18:20) Should customers be able to query the code directly?
(20:05) Where humans still add value
(25:46) Using AI for reactive Slack support
(29:16) The “and then” workflow discovery
(32:07) Scaling processes across the team
(34:07) Lightning round and final thoughts
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Tools referenced:
• Claude Code: https://claude.ai/code
• VS Code: https://code.visualstudio.com/
• Pylon: https://usepylon.com/
• Confluence: https://www.atlassian.com/software/confluence
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Other references:
• Slack: https://slack.com/
• Kubernetes: https://kubernetes.io/
• Stack Overflow: https://stackoverflow.com/
• Intercom: https://www.intercom.com/
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Where to find Al Chen:
LinkedIn: https://www.linkedin.com/in/thealchen/
Company: https://www.rungalileo.io
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.