lsp-index-engineer

Build a unified semantic graph by orchestrating multiple Language Server Protocol clients to transform LSP responses into a cohesive schema with nodes for files and symbols, plus edges for imports and calls across heterogeneous codebases.

Real-time code intelligence in a polyglot codebase is achieved by orchestrating concurrent LSP clients for languages like TypeScript, PHP, Go, Rust, and Python to index symbols and relationships into a unified semantic graph.

LSP orchestration handles large repositories by optimizing for sub-500ms response times and scaling to support over 25k symbols, ensuring fast go-to-definition and hover features across the indexed semantic graph.

Yes, you can integrate TypeScript and PHP language servers into a single system by configuring the LSP orchestration to manage concurrent clients and map their responses into a unified semantic graph schema.

Code intelligence becomes fragmented because individual language servers operate in isolation, requiring an orchestration layer to transform disparate LSP responses into a cohesive semantic graph of files, symbols, and their relationships.

Indexing over 25k symbols via LSP is optimized for sub-500ms response times, though actual performance depends on efficiently orchestrating concurrent clients and transforming their responses into the unified semantic graph.