TypeScript and Node.js
APIs, background jobs and integrations that share types with Next.js and React front ends. A field renamed on the server shows up as a build error in the browser code, not as a bug in production.
Capability 01 · Architecture & APIs
We plan the data model, APIs and integrations behind your platform first, then build them, mainly in TypeScript and Node.js, with Python or Java where a project calls for it.
§01Blueprint first
Many rewrites start with decisions nobody made on purpose. We settle these four in writing at the start of a project, and revisit them as the platform grows.
The records your business runs on, how they relate, and which rules must always hold. Usually a PostgreSQL schema with constraints the database enforces itself.
Typed endpoints with input checked at the boundary, so bad data is rejected before it reaches the database and the front end knows exactly what to expect.
Payments, shipping, accounting, CRMs. For each one we decide what it owns, what we store, and what happens when it is slow, down or sends the same webhook twice.
Where the system runs, how changes are tested and deployed, and how environments are kept apart. Containers and CI/CD on Google Cloud are our usual starting point.
§02Languages
TypeScript is where most of our work lives. Python and Java come in when the problem, or the systems around it, call for them.
APIs, background jobs and integrations that share types with Next.js and React front ends. A field renamed on the server shows up as a build error in the browser code, not as a bug in production.
Data processing, reporting pipelines and work that leans on Python's data and machine-learning libraries, usually as a separate service the main API calls.
Connecting to established enterprise systems, including older SOAP services, where a mature, strongly typed runtime keeps the integration predictable.
The contract for each record is written once and shared. The API checks every request against it, and the front end is built against the same types, so the two cannot quietly disagree.
// One definition of an order, shared by the API and the front end
export const Order = z.object({
id: z.string().uuid(),
customerId: z.string().uuid(),
lines: z.array(OrderLine).min(1),
status: z.enum(["pending", "paid", "shipped"]),
});
export type Order = z.infer<typeof Order>;
// Bad input is rejected here, before it reaches the database
const order = Order.parse(request.body);§03Principles
The habits that keep a custom system maintainable after launch, whoever works on it next.
Each piece of data has one owner. Other systems read it or receive it; they do not keep their own copy that drifts.
Webhooks and background jobs are idempotent, so a payment notification that arrives twice does not create two orders.
Automated checks run in CI before anything reaches a live environment.
Database changes are scripted, reviewed and repeatable, never applied by hand.
Architecture notes explain why the system is shaped the way it is, not only what it does.
Standard tools, your repositories and your cloud accounts. No proprietary framework to unwind later.
§04Further reading
Internal tools, portals, quoting and ordering systems built around how you work, explained without the jargon.
See the serviceField studyThe architecture in Fig. 01 in practice: a WooCommerce store rebuilt as a custom Next.js and Node.js platform.
Read the field studyNext season starts here
Tell us what the software needs to do and what it has to connect to. We will sketch the architecture with you and outline a clear plan, even if the first step is small.