CodeCortX FAQs

Question 1

What kind of search capabilities does CodeCortX offer?

Accepted Answer

CodeCortX provides powerful search capabilities including exact and fuzzy symbol search, and full-text BM25 statistical search through all indexed code content. This allows users to find algorithm implementations, error handling patterns, or specific functionality across their entire codebase.

Question 2

How does CodeCortX integrate with AI/LLM tools?

Accepted Answer

As an MCP (Model Context Protocol) server, CodeCortX is designed to seamlessly integrate with LLM (Large Language Model) tools like Amazon Q. It acts as a powerful RAG (Retrieval Augmented Generation) backend, providing AI with precise, real-time code context for enhanced understanding and generation tasks.

Question 3

What is CodeCortX and its primary purpose?

Accepted Answer

CodeCortX is a lightning-fast, language-agnostic Model Context Protocol (MCP) server built in Rust. Its primary purpose is to provide instant symbol lookups, comprehensive reference tracking, and advanced semantic code search for very large codebases.

Question 4

How does CodeCortX achieve such high performance?

Accepted Answer

CodeCortX is engineered for speed, featuring <1ms symbol lookups and indexing over 100 files per second. It leverages Rust for safety and performance, lock-free concurrency, smart caching with binary persistence for sub-second startups, and incremental updates.

Question 5

Which programming languages does CodeCortX support?

Accepted Answer

CodeCortX offers multi-language support for 15+ programming languages, including popular ones like Rust, Python, JavaScript, TypeScript, Java, Go, C, C++, and more. Its architecture is extensible for adding new languages.

CodeCortX

CodeCortX

Key Features

Use Cases

Key Features

Use Cases