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Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.
Provides intelligent code context management and semantic search capabilities for software development, enabling natural language queries to find relevant code snippets, functions, and classes across Python, JavaScript, TypeScript, and SQL codebases.
Enables AI models to interact with Linear for issue tracking and project management through the Model Context Protocol, supporting capabilities like creating issues, searching, managing sprints, and bulk updating statuses.