Code Graph Context

Example Use Cases

• 1

  Perform semantic code search across large TypeScript projects.

• 2

  Conduct impact analysis and risk assessment before refactoring.

• 3

  Coordinate multi-file code changes using swarm AI techniques.

Description

Code Graph Context parses TypeScript projects into an AST-based Neo4j graph enriched with semantic framework schemas, enabling advanced code search, impact analysis, dead code detection, and multi-agent coordination. It supports multi-project workspaces, incremental parsing, and vector embeddings for semantic search, with optional OpenAI integration. This tool empowers AI assistants like Claude to understand entire codebases holistically, improving refactoring safety and developer productivity.