Node.js is fast to prototype and easy to over-couple into a mess of untyped callbacks and ad-hoc services. We build backends with TypeScript, NestJS where structure earns its weight, and a data layer that holds up once traffic and team size both grow.
Node.js makes it trivial to ship a working endpoint and just as easy to end up with a backend nobody wants to touch. A dedicated team designs for the second year, not just the demo.
Typed request/response contracts and typed database models — fewer 2am incidents caused by an undefined field slipping through.
We reach for NestJS on multi-team or long-lived APIs and stay with lean Express when a service is small and shouldn't carry framework overhead.
WebSockets, queues, and event-driven flows designed around backpressure and reconnection — not a demo that falls over under real load.
We take over undocumented Express apps, callback-heavy code, and untyped JavaScript, refactoring incrementally where a rewrite isn't justified.
The engineers who design your API contracts and schema are the ones who write the code — no gap between the sales call and delivery.
API documentation, migration history, and a clean service structure so your in-house team can extend it without archaeology.
Scoped to the backend you actually need — not a fixed bundle of services you'll never use.
Typed, documented APIs for web and mobile clients, built around your actual data model.
Splitting a monolith into services when team size or scaling genuinely calls for it — not by default.
Chat, live notifications, and streaming updates over WebSockets or server-sent events.
Schema design, migrations, and query performance work so the database isn't the bottleneck as you grow.
Taking over an existing backend, fixing structural issues, and modernizing without a risky full rewrite.
Senior Node.js engineers embedded in your existing team for a defined engagement or ongoing capacity.
Yes, when it's structured for it — typed code, clear service boundaries, and a framework like NestJS once the team or codebase outgrows a single Express app. Plenty of high-traffic, mission-critical backends run on Node.js; the risk is usually in how a project was built, not the runtime itself.
If your team already writes TypeScript on the frontend, Node.js keeps the stack in one language and makes real-time features easier. Python tends to win when the product leans heavily on data science or ML tooling. We'll tell you honestly which fits your specific product rather than defaulting to what we prefer to sell.
Yes — Node.js's event loop is a natural fit for WebSockets, live notifications, and streaming updates. We design these around reconnection handling and backpressure so they hold up under real concurrent load, not just in a demo.
Yes. Most engagements start with an audit to see what's salvageable, then we refactor incrementally — adding types, fixing structural issues, and stabilizing the parts under heaviest load first — rather than a risky ground-up rewrite unless the codebase is small enough that one is genuinely faster.
We profile first — most "Node.js is slow" complaints trace back to blocking calls, an unoptimized database query, or a missing cache, not the runtime. Fixes range from query and index work to horizontal scaling and splitting out a service, depending on what the profiling actually shows.
Tell us what you're building or what's breaking in your current Node.js backend — we'll scope an approach on a call.