Transforms TypeScript and JavaScript codebases into a persistent code knowledge graph in SQLite, enabling structural codebase navigation via deterministic graph queries without reading source files.
Enables AI coding agents to query a live, type-aware, intent-aware cross-repo index of an organization's TypeScript services, answering semantic questions about functions, endpoints, types, and behavior across repositories. It also supports validation of cross-repo API mismatches and same-repo checks.
Enables querying and analyzing code relationships by building a lightweight graph of TypeScript and Python symbols. Supports symbol lookup, reference tracking, impact analysis from diffs, and code snippet retrieval through natural language.
Provides coding agents with a compact map of a TypeScript/TSX codebase, enabling direct answers about symbol locations, imports, dependencies, and references while reducing token usage.
Code-search engine that parses TypeScript and JavaScript with a real AST, stores the symbol graph in SQLite, and serves AI assistants exact matching declarations (functions, classes, types) via BM25 fused with declaration-exact ranking — saving tokens by returning only the relevant code instead of whole files.