The full stack, from the foundation up.
We work across every layer and every stage of a system's life. Our core is TypeScript on Node.js, Prisma and PostgreSQL: proven, well understood, and fast enough for almost anything you will ask of it.
How a system stands
Read it like a building section. A request enters at the top and travels down to the foundation.
Level L3
Interface
Next.js and React
Server-rendered React that receives typed data from the layer below. Pages load quickly on slow networks and work with a keyboard and a screen reader.
Carries interface
- Server components and streaming
- Design systems in code
- Accessibility to WCAG 2.2 AA
- Core Web Vitals budgets
Level L2
Services
Node.js
TypeScript services for HTTP and event-driven APIs, background jobs and integrations. They hold no state between requests, so capacity grows by adding instances.
Carries scale
- REST and GraphQL APIs
- Queues, workers and schedulers
- Webhooks and third-party integrations
- Authentication, rate limits and idempotency
Level L1
Data access
Prisma
The Prisma schema is the single source of truth for the domain model. Queries are type-safe, migrations are reviewed like code, and we drop to raw SQL when the query planner needs help.
Carries architecture
- Schema-first domain modelling
- Reviewed, reversible migrations
- Type-safe queries end to end
- Typed SQL for hot paths
Level B1
Below grade
PostgreSQL
PostgreSQL holds the system's integrity: constraints, transactions and indexes tuned to real access patterns. When the data grows, we partition it and add read replicas.
Carries performance
- Constraints and transactional integrity
- Index and query-plan tuning
- Partitioning and read replicas
- Backups and point-in-time recovery
One schema, all the way to the screen.
- The index is designed with the query.
- It is not added after the first incident.
- Cursor pagination
- keeps the ten-thousandth page as fast as the first.
- Types flow upward.
- Rename a column and the build fails, not the page your customer is looking at.
enum Status {
ACTIVE
ARCHIVED
}
model Project {
id String @id @default(cuid())
name String
status Status @default(ACTIVE)
createdAt DateTime @default(now())
releases Release[]
// Shaped for the list query: filter by status, newest first.
@@index([status, createdAt(sort: Desc)])
}import { prisma } from "@/lib/db";
export async function listActiveProjects(cursor?: string) {
return prisma.project.findMany({
where: { status: "ACTIVE" },
orderBy: { createdAt: "desc" },
select: { id: true, name: true, createdAt: true },
take: 50,
...(cursor && { cursor: { id: cursor }, skip: 1 }),
});
}
// Inferred from the schema. No hand-written DTOs to drift.
export type ActiveProject = Awaited<
ReturnType<typeof listActiveProjects>
>[number];From the first question to the on-call rotation.
1
Discover
What has to hold?
We map the domain, the expected load and the constraints with your team.
Output: a written brief and a list of risks
2
Design
What shape should it take?
Data model, service boundaries and failure modes, reviewed before we build.
Output: architecture decision records
3
Build
Does it work under load?
Weekly releases to a production-like environment, with budgets checked in CI.
Output: working software every week
4
Launch
Can we ship it safely?
Load-tested and observable, with a rollback plan we have already rehearsed.
Output: a rehearsed release plan
5
Operate
What happens at ten times the traffic?
We run what we build: on-call, tuning and planning for the next order of magnitude.
Output: service levels and a scaling roadmap
Chosen for the load.
The tools we reach for when a system needs more than the core stack. We choose them per project, not by habit.
- Infrastructure
- AWS
- Vercel
- Docker
- Terraform
- Messaging and jobs
- Kafka
- Redis
- BullMQ
- Amazon SQS
- Observability
- OpenTelemetry
- Grafana
- Sentry
- Quality
- Vitest
- Playwright
- k6 load testing
Have a system that needs to carry more?
Tell us what you are building and where it strains. We will reply with how we would approach it.