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How to Create a High-Level Module Dependency Graph Directly from GitHub

ArchToCode Team May 26, 2026 5 min read
module dependency graphgithub code visualizationai code analysiscode architecture diagrammermaid diagram generatorsoftware visualizationcode understandingrepository analysisarchtocodedeveloper toolscode mappingsystem architecture
Table of contents

Unlock Your Codebase: High-Level Module Dependency Graphs from GitHub

Understanding the intricate relationships within a large codebase can be a daunting task. Whether you're onboarding a new developer, refactoring a legacy system, or simply trying to get a bird's-eye view of your project's architecture, a clear visual representation is invaluable. This is where high-level module dependency graphs come into play, and with tools like ArchToCode, generating them directly from your GitHub repositories has never been easier.

A module dependency graph illustrates how different parts of your software system rely on each other. It's a powerful way to identify bottlenecks, understand data flow, and pinpoint areas of high coupling that might hinder maintainability and scalability. Instead of manually tracing imports and exports, imagine a tool that does this automatically, providing an interactive, up-to-date diagram.

The Power of AI-Driven Code Visualization

ArchToCode is an AI-powered web application designed to bridge the gap between complex code and intuitive visual diagrams. It connects directly to your GitHub repositories, analyzes your source code, and generates various types of Mermaid diagrams, including detailed module dependency graphs. This process is not just about drawing boxes and arrows; it's about intelligent analysis that helps you make informed decisions about your architecture.

Seamless GitHub Integration

The first step to visualizing your GitHub repository is to connect it to ArchToCode. This is a straightforward process:

  1. Navigate to the Integrations menu.

  2. Select Connect GitHub Repository.

  3. Provide a GitHub Personal Access Token (ensuring it has the necessary repo scope for private repositories).

  4. Browse and select the specific repository you wish to analyze.

  5. Choose the relevant code files. ArchToCode supports a wide array of languages, including TypeScript, JavaScript, Python, Go, Java, and many more, while intelligently excluding common directories like node_modules and .git.

Once connected, ArchToCode can immediately begin analyzing your codebase, turning raw files into actionable insights.

Generating Your Module Dependency Graph

With your GitHub repository linked, generating a high-level module dependency graph is as simple as selecting a prompt:

  1. In the left sidebar, choose a prompt template like "Module Dependencies" or "High-Level Project Flow".

  2. ArchToCode's AI engine will process your selected files and generate a Mermaid diagram in the central canvas.

The beauty of this approach is that the AI understands the context of your code. It doesn't just parse syntax; it interprets relationships, allowing it to create meaningful and accurate visualizations of how your modules interact.

Customizing and Refining Your View

ArchToCode offers extensive customization options to tailor your dependency graphs to your specific needs:

  • Complexity Level: Adjust the AI's output from "Simple" (5-10 nodes for a high-level overview) to "Complex" (20-30 nodes for more detail), or choose "Medium" for a balanced view. This is crucial for managing the visual density of your diagrams.

  • Max Nodes: Use the slider to set a maximum number of nodes (from 5 to 50) to prevent overwhelming diagrams, especially in large repositories.

  • Custom Context File Selection: Need to focus on a particular subsystem? You can manually select specific files to include or exclude from the AI's analysis, ensuring the diagram highlights only what's relevant.

  • Display Options: Toggle elements like arrows, containers, node labels, and edge labels to simplify complex diagrams or focus on specific aspects of the architecture.

These controls empower you to iteratively refine your graph until it perfectly communicates the desired information, whether it's for a quick review or a detailed presentation.

Beyond the Graph: Exploring Your Code

A static image of a dependency graph is helpful, but ArchToCode takes it a step further with interactive features:

  • Interactive Diagrams: Click on any node in the diagram to highlight its connections, making it easy to trace dependencies and understand relationships.

  • Node Inspector: The right panel provides details about selected nodes, including their type and associated metadata.

  • Source Code Explorer: This powerful feature allows you to dive directly into the code related to a diagram node. You can view the function definition, trace code flow, or see surrounding code, all with syntax highlighting and intelligent relationship analysis. ArchToCode analyzes your entire repository to find direct imports, files that import the selected element, references, and even mentions, organizing them into clear categories.

  • AI Diagram Explanation: Get a comprehensive, 50+ sentence AI-powered analysis of your generated diagram. This explanation covers the overall purpose, key components, data flow, design patterns, and more, acting as an intelligent guide to your code's architecture.

These features transform the diagram from a mere picture into a dynamic tool for code exploration and understanding.

Benefits for Developers and Teams

  • Faster Onboarding: New team members can quickly grasp complex architectures.

  • Improved Code Reviews: Visualizing changes helps identify potential issues before they become problems.

  • Effective Refactoring: Understand the impact of changes before you make them, reducing risks.

  • Enhanced Documentation: Automatically generated diagrams provide up-to-date, accurate documentation.

  • Better Communication: Share clear, concise visuals with stakeholders, bridging the gap between technical and non-technical team members.

ArchToCode also supports various AI providers, including OpenAI, Anthropic, Google AI, and OpenRouter, allowing you to use your preferred models. For sensitive code, the Local Agent Bridge lets you analyze code on your machine using local AI agents like Claude Code or Ollama, ensuring your code never leaves your environment.

Start Visualizing Your GitHub Repositories Today!

Stop struggling with complex codebases and start gaining clarity with ArchToCode. By transforming your GitHub repositories into interactive, high-level module dependency graphs, you'll unlock a new level of understanding and efficiency in your development workflow. Ready to see your code in a new light? Try ArchToCode now!

For more insights into code visualization and ArchToCode's features, make sure to check out the ArchToCode YouTube channel for tutorials and demonstrations.

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