Build a Mini Engineering Graph With TypeScript and GitHub

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Building an engineering graph with TypeScript and GitHub, actionable for improving developer experience and code analysis.

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Why It Matters

For platform and data engineers, this is a lightweight, zero-infrastructure pattern for preserving engineering knowledge and surfacing codebase relationships directly from existing GitHub activity, without adding new tools or databases.

Key Takeaways

Implement an in-memory graph from GitHub PR data to answer 'who knows this file' and 'what changes with this file' using just TypeScript and the GitHub API.

Build a Mini Engineering Graph With TypeScript and GitHub

Summary

This tutorial demonstrates building a TypeScript CLI that constructs an in-memory engineering graph from GitHub pull request data, using nodes for repositories, PRs, files, and people connected by relationships like AUTHORED, MODIFIED, and REVIEWED. The approach requires no graph database, vector database, or AI model — just the GitHub API and TypeScript — to surface insights like who has experience with a file or which files change together. The CLI runs queries such as listing experts for a file or finding related files, with all data rebuilt on each command from up to 10 recently closed PRs.

Author

Bobby Hall Jr