CodeAtlas FAQs

Question 1

How does CodeAtlas ensure AI memory persistence across conversations?

Accepted Answer

CodeAtlas analyzes your project once and creates an `.agents/memory/` directory. This directory stores AI-readable system documentation, including architecture maps, module details, and feature flows, allowing AIs to retain context and knowledge over time.

Question 2

What types of diagrams can CodeAtlas automatically generate?

Accepted Answer

CodeAtlas auto-generates Mermaid diagrams for both system architecture (showing module imports and relationships) and feature execution flows (illustrating call chains), helping developers visualize complex code structures and dependencies effortlessly.

Question 3

Does CodeAtlas help in understanding new codebases faster?

Accepted Answer

Yes, by generating architecture maps, providing interactive force-directed graph visualizations, offering AI-generated insights, and maintaining persistent memory, CodeAtlas significantly reduces the time and effort required to onboard onto unfamiliar codebases.

Question 4

What is CodeAtlas and how does it benefit developers?

Accepted Answer

CodeAtlas is an AI-powered VS Code extension that provides AI assistants (Gemini, Claude, Cursor, Windsurf, Copilot) with deep, persistent understanding of your codebase. It maintains AI context across conversations, generates architecture diagrams, and offers advanced code analysis tools.

Question 5

Which AI assistants and IDEs are compatible with CodeAtlas?

Accepted Answer

CodeAtlas integrates seamlessly with AI assistants like Gemini, Claude, Cursor, Windsurf, and Copilot. It supports VS Code, Cursor, Claude Desktop, and other IDEs by leveraging the Model Context Protocol (MCP) for deep AI integration.

CodeAtlas

CodeAtlas

Key Features

Use Cases

Key Features

Use Cases