Node.js

Node is ideal for API servers, real-time applications, streaming, and anything I/O-bound — which describes the vast majority of web and mobile backends. Its non-blocking architecture handles thousands of simultaneous connections efficiently without a thread per request, keeping infrastructure lean.

It's especially strong for real-time features — chat, live dashboards, collaborative editing, notifications — where WebSocket connections stay open and data streams both ways. The same runtime that serves your REST or GraphQL API handles these live features without adding a second technology to the stack.

We build Node services in TypeScript, with a clear separation between HTTP layer, business logic, and data access so the code stays testable and easy to reason about. We choose frameworks pragmatically — a lean setup for focused APIs, or a fuller framework like NestJS when a larger service benefits from more structure.

Type safety spans the boundary: with tRPC or typed GraphQL, the same types describe the API on both server and client, so the frontend can't call an endpoint the wrong way. Input validation with Zod gives us runtime safety to match the compile-time guarantees, closing the gap at the edge of the system.

Node isn't the answer to everything, and we say so. For CPU-heavy work — heavy data processing, machine learning, numerical computation — we'll reach for Python or Go, which are better suited to that kind of load, and let them sit alongside Node in a well-defined service boundary.

That pragmatism matters: the goal is the right tool for each job, not one language everywhere by dogma. Node handles the API and real-time layer brilliantly; we compose it with other runtimes where their strengths clearly win, and keep the seams between them clean.