TypeScript-first, OpenAPI-documented, structured, testable. NestJS is the backend choice that scales beyond MVP, and it sits behind most of the products we ship.
Where it fits in our builds
In a typical build, NestJS sits between the Next.js app and Postgres. It owns the API contract, the background queues, and the auth boundary, and it is where LLM calls get routed, retried, and logged.
TypeScript
Node.js
Next.js
Supabase
Docker
AWS
Our stance
We pick NestJS because it gives us TypeScript-first DX out of the box and structure that scales beyond the chaos of vanilla Express. Its decorator-based clarity (controllers, services, modules) maps cleanly to team ownership, and its testing primitives mean every service is mockable and every controller is testable. The ecosystem is deep too: Prisma, GraphQL, microservices, and WebSockets are all first-class, so the framework grows with the product instead of getting in its way.
Capabilities
REST endpoints with OpenAPI spec generation: fully typed DTOs and contracts your frontend can trust.
Code-first GraphQL schemas with type-safe resolvers, generated from your domain models.
BullMQ integration for retries, scheduling, and priority queues. Anything that should not block a request.
Real-time gateways for live updates, streaming responses, and bidirectional events.
NestJS Microservices module for service decomposition, when the architecture genuinely justifies it.
LLM call routing, streaming, and retries: the production plumbing behind AI product features.
Infrastructure that holds up when traffic arrives
Tooling
Hard lines
Saying no to these is part of the service. Each one is a production incident we would rather not relive.
Controllers route; services orchestrate. Logic in controllers is untestable and unreusable.
A circular import almost always signals an architecture problem, not something to patch around.
We modularize by feature. A single mega-module becomes unownable and impossible to reason about.
Anything slower than ~100ms belongs in a queue, not in the request path.
Ad-hoc validation drifts and leaks. We use class-validator + DTOs at every boundary.
Ad platforms, outbound engines, AEO tools, and content engines.
Underwriting, risk, fraud, and document-intelligence pipelines.
Clinical assistants, triage, and medical-document workflows.
We built a minimum viable product to connect disparate advertising APIs into a single, intuitive user interface.
We built the technical foundation for a SaaS platform that automates complex legal document creation with usage-based pricing system
We engineered a voice-first AI companion with a therapeutic framework to validate a new model for mental health support.
Adjacent stacks
Need to extend your team with engineers who have shipped production NestJS? We embed senior backend engineers who write structured, testable, TypeScript-first APIs from day one.
Production engineering
We pick tools because they ship, not because they trend. Every technology we list is one we have deployed to production, debugged under load, and would choose again for the right problem.
Straight answers on how we run NestJS in production, from ORMs to queues.
Structure, testability, and TypeScript-first DX. Express works for small APIs; NestJS scales as the product grows.
No account managers. No discovery theatre. A direct conversation about your backend and what it takes to ship it to production.