One language, one team
Shared types between client and server remove a whole class of integration bugs and let one team own a feature end to end. No handoff between frontend and backend guilds.
Technologies
Node.js
Real-time APIs and full-stack TypeScript. One language from the browser to the backend, built for thousands of concurrent connections.
What we build with Node.js
We use Node.js for real-time systems and full-stack TypeScript products: WebSocket backends for chat, collaboration and live dashboards, event-driven APIs, backend-for-frontend layers, and products where Next.js on the frontend and NestJS or Fastify on the backend share one language and one type system.
It is the right choice when the workload is I/O-heavy and concurrent (many connections, many API calls, little computation per request), when your team already lives in TypeScript, or when serverless economics matter. It is the wrong choice for CPU-heavy processing and ML workloads; there we pair it with Python or Java services and keep Node doing what it is best at.
We develop AI-accelerated, with senior review on every merge. Strict TypeScript across the codebase, contract tests between frontend and backend, load tests on the real-time paths, and tracing, metrics and structured logs before launch. The event loop is fast; our process makes sure your system is also correct.
Why Node.js
Built for concurrent I/O
The event loop holds tens of thousands of open connections on a single node. For chat, live updates and API aggregation, that is the exact shape of the problem.
The largest ecosystem there is
npm has a maintained library for nearly everything, and hiring TypeScript engineers is as easy as hiring gets. Your future team options stay open.
Serverless and edge native
Fast cold starts make Node the default runtime of every major serverless and edge platform. You pay for usage instead of idle servers, where the workload fits.
Technologies
How we work
01
Design the contracts first
We define API and event contracts up front, as TypeScript types shared between services. The architecture (REST, WebSockets, queues) is chosen against your latency and volume numbers, not out of habit.
02
AI-accelerated build, senior review
AI tooling generates the routine parts fast; senior engineers review every pull request and own the hard decisions. Strict compiler settings are non-negotiable.
03
Test where it can break
Unit and integration tests in CI, contract tests on service boundaries, load tests on the real-time paths that carry your traffic. Every merge is gated.
04
Ship with observability
Tracing, metrics, structured logs and alerting are wired in before go-live, plus runbooks and a handover for your team. You see what production is doing from day one.
What you get
Production TypeScript services in NestJS or Fastify
A real-time layer (WebSockets or server-sent events) load-tested at your target concurrency
Shared type packages consumed by frontend and backend
A CI/CD pipeline with tests gating every merge
OpenAPI or event schema documentation
Dashboards, tracing and alerting configured for production
Common questions
JavaScript or TypeScript?
TypeScript, strictly configured, without exception. On anything larger than a prototype the type system pays for itself within weeks: faster reviews and regressions that never happen. We treat plain JavaScript backends as legacy and migrate them incrementally.
Is Node.js fast enough for our backend?
For I/O-bound workloads Node is excellent: thousands of concurrent requests per node at low latency. It is the wrong tool for heavy per-request computation; if profiling shows a CPU-bound core, we move that piece to a worker, a queue or another runtime, and we say so before you commit.
Which framework do you use?
NestJS when a large codebase needs structure a team can follow; Fastify when raw throughput and a small footprint matter; Next.js API routes only for small backends that live inside the app itself. We recommend per project, in writing, with the reasons.
Can you work inside our existing stack?
Yes. Most Node work we do lands inside an existing product: a real-time layer beside a REST API, a BFF in front of legacy services, an extracted service where the monolith hurts. We start with an audit of the current state and integrate rather than rewrite where possible.
Building something real-time or full-stack?
Book a free 30-minute call with a senior engineer. You leave knowing whether Node.js fits your workload and what the first milestone should be.
Talk to an engineer