Codebase FAQs

Question 1

Which AI coding assistants are compatible with Codebase?

Accepted Answer

Codebase is MCP (Memory Context Protocol) compatible, ensuring seamless integration with popular AI coding assistants such as Claude Code and GitHub Copilot CLI, working out of the box.

Question 2

Does Codebase require external APIs for its embedding functionality?

Accepted Answer

No, Codebase utilizes local embeddings via Ollama and the `nomic-embed-text` model. This means no API keys, no ongoing costs, and full offline functionality, ensuring data privacy and efficiency.

Question 3

What is Codebase and its primary purpose?

Accepted Answer

Codebase is a per-project semantic code indexer and MCP server designed to connect your codebase to AI coding assistants like Claude Code and GitHub Copilot CLI, enabling more precise and efficient code interactions.

Question 4

How does Codebase optimize token usage for AI assistants?

Accepted Answer

Instead of loading entire files, Codebase allows AI assistants to semantically search and query only the most relevant code chunks. This dramatically reduces token usage by 70-95% while significantly improving answer quality.

Question 5

What programming languages does Codebase support?

Accepted Answer

Codebase features smart language-specific chunkers for Go, TypeScript, JavaScript, Vue, React (JSX/TSX), and HTML. It also includes a generic fallback chunker to support any other programming language.

Codebase

Codebase

Key Features

Use Cases

Key Features

Use Cases