CodeGraph FAQs

Question 1

How does CodeGraph benefit AI agents and developers?

Accepted Answer

For AI agents, CodeGraph provides structured code understanding and a persistent memory layer for insights. For developers, it offers 31 specialized tools for deep code analysis, navigation, impact prediction, and enhanced context retrieval.

Question 2

Which programming languages does CodeGraph support?

Accepted Answer

CodeGraph supports 15 programming languages, including TypeScript/JS, Python, Rust, Go, C, C++, Java, Kotlin, C#, PHP, Ruby, Swift, Tcl, and Verilog, all through deep parsing via tree-sitter.

Question 3

What is CodeGraph and its primary purpose?

Accepted Answer

CodeGraph provides cross-language code intelligence by building a detailed semantic graph of your codebase. Its primary purpose is to enhance AI agents and developers with structured understanding of complex code, moving beyond simple file searching.

Question 4

How does CodeGraph integrate into a development workflow?

Accepted Answer

CodeGraph integrates via a VS Code extension and as an MCP server for AI clients like Claude Code and Cursor. It supports multi-project indexing, allowing you to build a single, unified graph from multiple codebases.

Question 5

What types of code analysis and navigation features does CodeGraph offer?

Accepted Answer

CodeGraph offers extensive tools for dependency graphs, call graphs, complexity analysis, impact analysis, unused code detection, symbol search, and custom graph traversal, all with fast, incremental indexing and sub-100ms query responses.

CodeGraph

CodeGraph

主要功能

使用案例

主要功能

使用案例