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CodeGraph solves the problem of AI coding assistants consuming excessive context by repeatedly searching and reading code during development. Instead of inefficiently grepping files, CodeGraph indexes a project once, allowing AI assistants like Claude Code, Cursor, and Windsurf to perform precise, token-efficient queries for identifiers, method signatures, and project summaries. This significantly reduces the context needed for code navigation, enabling AI to focus more on problem-solving and less on information retrieval, ultimately saving 50-80% of context window capacity for code searches.
