Codesteward FAQs

Name: Codesteward
Author: Codesteward

Question 1

Does Codesteward offer security analysis features?

Accepted Answer

Yes, Codesteward includes an optional taint analysis tool. This feature helps identify security vulnerabilities by tracing untrusted input flows through your codebase and visualizing potential exposure paths.

Question 2

Which programming languages and AI tools does Codesteward support?

Accepted Answer

Codesteward supports structural graph parsing for over 14 languages, including Python, TypeScript, Java, Go, Rust, C#, and C++. It seamlessly integrates with popular AI tools like Claude Code, Cursor, and Copilot, often with zero per-project configuration.

Question 3

How does Codesteward benefit AI agents for code analysis?

Accepted Answer

Instead of repeatedly scanning files, AI agents can query a pre-built, persistent graph to quickly resolve cross-file relationships, call chains, dependencies, and security guards. This enables them to answer complex questions about your code efficiently.

Question 4

What is Codesteward and how does it work?

Accepted Answer

Codesteward transforms code repositories into queryable structural graphs using tree-sitter AST for deep code understanding. It exposes these graphs via Model Context Protocol (MCP) tools, allowing AI agents to perform complex analysis and interaction with your codebase.

Question 5

What kind of graph backends can Codesteward use?

Accepted Answer

Codesteward supports multiple graph backends to store your code's structural data, including Neo4j, JanusGraph, and GraphQLite (an embedded SQLite solution for easy local development).

Codesteward

Codesteward

Key Features

Use Cases

Key Features

Use Cases