Codebase Intelligence FAQs

Question 1

Is Codebase Intelligence compatible with AI development tools and LLMs?

Accepted Answer

Yes, it's designed for LLM-assisted code understanding via MCP (Multi-Modal Chat Protocol). It integrates with AI tools like Claude Code and provides 15 specialized MCP tools for agents to query your codebase for detailed context.

Question 2

What is Codebase Intelligence and what problem does it solve?

Accepted Answer

Codebase Intelligence is a static analysis tool for TypeScript projects. It parses codebases, builds dependency graphs, and computes architectural metrics to provide deep insights, helping developers understand complex code, plan refactoring, and reduce risk.

Question 3

How does Codebase Intelligence assist with refactoring and code maintenance?

Accepted Answer

The tool provides crucial support for refactoring by offering symbol-level impact analysis, rename planning, and identifying hotspots or dead exports. Its metrics, like blast radius and churn, enable safer, more efficient refactoring decisions.

Question 4

What kind of architectural insights does Codebase Intelligence provide?

Accepted Answer

It offers 11 architectural metrics (e.g., PageRank, coupling, cohesion, churn), symbol-level call graphs, impact analysis, execution flow tracing, dead export detection, and community discovery, revealing your codebase's structure and health.

Question 5

What are the primary requirements for using Codebase Intelligence?

Accepted Answer

Codebase Intelligence requires a TypeScript codebase (.ts / .tsx files) and Node.js version 18 or higher. It is currently exclusive to TypeScript and does not support other programming languages or runtime/dynamic analysis.

Codebase Intelligence

Codebase Intelligence

Key Features

Use Cases

Key Features

Use Cases