TokenNuke Code Indexer

Example Use Cases

• 1

  Surgical access to codebases without burning context tokens

• 2

  Perform semantic and full-text search across multiple programming languages

• 3

  Analyze call graphs and dependencies for code review and refactoring

Description

TokenNuke provides fast, incremental indexing of local and remote code repositories using tree-sitter AST extraction and SQLite databases. It supports hybrid semantic and full-text search, O(1) symbol retrieval via byte-offset seeks, and detailed call graph queries. This enables AI coding agents and developers to access precise code segments without reading entire files, improving efficiency and enabling advanced code analysis and refactoring.