How I Built an AI Architecture Visualizer in 8 Hours (And Bypassed GitHub API Limits)

📰 Dev.to · Yash Bodade

Learn how to build an AI architecture visualizer in 8 hours and bypass GitHub API limits to streamline codebase navigation

intermediate Published 20 May 2026

Action Steps

Build a graph database to store codebase dependencies using a tool like Neo4j
Run a GitHub API query to fetch repository data, using pagination to bypass rate limits
Configure a data processing pipeline to extract and transform codebase data
Test the data visualization component using a library like D3.js
Apply graph algorithms to identify key dependencies and relationships in the codebase
Compare different visualization layouts to optimize readability and usability

Who Needs to Know This

Developers and DevOps teams can benefit from this tool to improve codebase understanding and collaboration

Key Insight

💡 Using graph databases and clever API querying can help overcome limitations and create powerful code visualization tools