lsp

To find symbol definitions and references in a Python or TypeScript codebase, you can use a language server interface to extract comprehensive code intelligence, including symbols, definitions, and diagnostics. This allows efficient navigation of large projects.

Yes, you need pyright-langserver and typescript-language-server installed, as the code intelligence analysis requires these specific language servers to parse, analyze, and extract information from your Python and TypeScript code.

The best way to analyze the impact of code changes in TypeScript projects is by interfacing with a language server to extract references and run impact analysis, ensuring you understand the architectural consequences before modifying large codebases.

Yes, you can check code diagnostics and navigate complex Python project architectures efficiently by leveraging a language server, which provides deep insights into symbols and references for understanding and modifying code.

You explore code symbols in your project by running the provided language server explorer script, which interfaces with the configured language server to quickly extract and list all symbols found in the specified directory.

The limitations of using language servers for code intelligence include being restricted to Python and TypeScript projects, and requiring the specific dependencies pyright-langserver and typescript-language-server to be properly installed and configured for parsing.