CodeGraph FAQs

Question 1

How much context window usage can CodeGraph save for AI assistants?

Accepted Answer

CodeGraph can reduce context window usage for code navigation by 50-80%. It replaces inefficient 'grep and read' methods with targeted queries to an index, delivering only relevant information to the AI.

Question 2

What is CodeGraph and how does it help AI coding assistants?

Accepted Answer

CodeGraph is an MCP server that gives AI coding assistants instant, persistent access to your entire codebase through a pre-built, intelligent index. It drastically reduces context window usage by providing precise search results instead of extensive file reading.

Question 3

Which AI coding assistants are compatible with CodeGraph?

Accepted Answer

CodeGraph is designed to work with any MCP-compatible AI assistant. This includes popular tools like Claude Code, Cursor, Windsurf, and Continue.dev.

Question 4

What are the core features of CodeGraph's indexing capabilities?

Accepted Answer

Key features include Smart Extraction using Tree-sitter for accurate parsing, instant access to method and class signatures, generation of project summaries with entry points, incremental updates for file changes, and the ability to query across multiple linked projects.

CodeGraph

Key Features

Use Cases

CodeGraph

Key Features

Use Cases