agency-lsp-index-engineer

Build a unified semantic graph by orchestrating multiple Language Server Protocol (LSP) clients to index symbols and relationships into a cohesive graph schema. This approach transforms fragmented LSP responses into a searchable index for cross-language codebase navigation.

Index code intelligence for large-scale projects by constructing a semantic graph with real-time updates and efficient caching. This maintains sub-100ms response times for developer queries, enabling fast lookups for definitions, references, and hover documentation.

Yes, you can manage LSP clients for TypeScript, PHP, Go, Rust, and Python simultaneously. The orchestrator coordinates these language servers to generate a unified, searchable semantic graph representing files and symbols across all supported languages.

Semantic indexing handles real-time code navigation by transforming LSP responses into a cohesive graph schema. It enables sub-100ms lookups for definitions, references, and hover documentation by applying real-time graph updates and efficient caching.

Yes, code intelligence graph construction works with existing language servers like gopls and rust-analyzer. It orchestrates these LSP clients alongside typescript-language-server, intelephense, and pyright to generate a unified semantic graph of codebases.