CodeWeave FAQs

Question 1

What is CodeWeave and what problem does it solve?

Accepted Answer

CodeWeave is an MCP server that provides AI agents with deep, structured code understanding. It solves the problem of AI agents receiving raw file dumps by offering precise, indexed code context (AST, call graphs, type graphs), enabling better decisions with fewer tokens.

Question 2

How does CodeWeave's semantic search work?

Accepted Answer

CodeWeave features a powerful 6-stage hybrid semantic search engine. It combines vector embeddings, BM25 full-text search, Reciprocal Rank Fusion (RRF), exact match boosting, and density-based reranking to ensure highly relevant and important code retrieval.

Question 3

Is CodeWeave easy to set up and use?

Accepted Answer

Yes, CodeWeave is designed for zero-config, one-command setup (`npx @codeweave/mcp`). It automatically handles dependencies like Ollama and the embedding model, then incrementally indexes your project. It also supports monorepos and works with clients like Claude Code and VS Code.

Question 4

What kind of tools does CodeWeave provide for AI agents?

Accepted Answer

CodeWeave offers 8 specialized AI agent tools for the entire code understanding workflow, including 'semantic_search' for discovery, 'get_function_source' for reading, 'get_dependencies' and 'get_impact_analysis' for analysis, and 'reindex' for maintenance.

Question 5

What programming languages does CodeWeave support?

Accepted Answer

CodeWeave supports 7 programming languages: Python, TypeScript, JavaScript, Go, Rust, Java, and C#. For each, it generates detailed AST, call graphs, and type graphs, along with language-specific noise filtering.

CodeWeave

CodeWeave

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