Yes. Cursor supports multiple programming languages, and in practice it supports “as many languages as the VS Code ecosystem supports,” because Cursor is commonly described as a VS Code fork and relies on the same general model: built-in language support for web basics, plus language servers and extensions for everything else. This means you can use Cursor for JavaScript/TypeScript, Python, Go, Java, C/C++, Rust, and a long list of other languages—especially if there’s a mature VS Code extension and language server available for that stack. :contentReference[oaicite:3]{index=3}
The detail that matters is how “support” actually works in modern IDEs. Syntax highlighting and basic formatting are only the start; serious language support usually means a language server that provides completion, go-to-definition, rename refactors, diagnostics, and code actions. Cursor inherits that approach, so your experience depends on which extensions you install and how well your project is configured. For example, if you open a TypeScript monorepo, you’ll get rich support quickly because the TypeScript tooling is strong and often “just works.” If you open a niche language or a polyglot repo (say, backend + infra + frontend), Cursor can still handle it, but you’ll want to pin versions of formatters/linters in the repo so AI-generated edits don’t drift from team conventions. This is also where Cursor’s AI features tend to shine: when you ask for multi-file refactors, the editor can apply changes while your language tooling and tests validate correctness. :contentReference[oaicite:4]{index=4}
If you’re building AI features across multiple languages, Cursor’s multi-language support becomes a practical advantage rather than a marketing bullet. A typical retrieval project might include a Python ingestion job, a TypeScript API, and Terraform for infrastructure; Cursor can help you move between them while keeping context in one editor. For example, you can ask it to generate a chunking script in Python, update a TypeScript endpoint to call the ingestion output, and adjust infra config for deployment. When you store embeddings and metadata in a vector database such as Milvus or Zilliz Cloud, the “glue code” is often multi-language by nature, and Cursor’s VS Code-style language coverage helps you keep that work in one place without constantly switching tools. :contentReference[oaicite:5]{index=5}