Observed Signal · Apr 6, 2026 · Technical Implementation · Source: Lennys Newsletter · Impact: 1/5 · Sentiment: Neutral
Engineer Uses Claude Code to Query Entire Codebase
Al Chen, a field engineer at Galileo (an observability platform for AI applications), built a system using Claude Code to query Galileo’s 15 separate repositories and combine that code context with Confluence documentation and Slack to answer complex, customer-specific technical questions. The implementation uses Model Context Protocols (MCPs) to join repo data with documentation and chat, includes a short script that pulls the latest main branch across repositories, and powers a “customer quirks” layer that generates hyper-personalized deployment guidance. The workflow is presented as a way to reduce engineering interruptions by enabling customer-facing teams to query the codebase directly and to scale single-customer knowledge into repeatable team processes. Tools mentioned include Claude Code, VS Code, Pylon, Confluence, Slack, Kubernetes, Intercom, Orkes and Tines.
Practical case study of LLM-driven multi-repo support at an observability vendor; useful operational example but limited immediate impact on the broader AdTech/MarTech industry.
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Key Takeaways & Evidence Grounding
- Al Chen is a field engineer at Galileo, an observability platform for AI applications.
- Chen built a system that uses Claude Code to query Galileo’s 15 separate repositories simultaneously.
- The system combines repository context with Confluence documentation and Slack using Model Context Protocols (MCPs).
- A 16-line script (produced by Claude Code) pulls the latest main branch across all repositories to keep context current.
- The setup includes a "customer quirks" system to produce hyper-personalized deployment guides and reduce engineering interruptions.
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