Every agency on the internet claims this stack — React on Vite or Next.js, Nest.js on Node.js, TypeScript throughout. So judge the work instead: money movement, regulated onboarding, live market data, operational platforms people sit in all day. The same stack — applied where mistakes cost money.
30 minutes, working session. You leave with a one-page read of your codebase either way. Nobody follows up more than once.
Starting a project with this stack is easy. These are the conditions that arrive later, and they are the ones we are usually hired for.
The endpoint nobody will touch
Four hundred lines, three responsibilities, no tests — and it is on the payment path. Everyone routes around it. Every quarter someone estimates fixing it, and the estimate gets cut.
Fast on your laptop
Then a customer with a real dataset opens the list view and the browser stops. Nothing is virtualised, every render recomputes, and the profiler has never been opened because there was always a feature due.
The roadmap is bigger than the team
Two open positions for five months. Every senior engineer is now a reviewer and an interviewer, so output went down while the headcount plan says it went up.
Releases need a person
A checklist in a document, a manual smoke test, an unwritten rule about Fridays. The batch gets bigger, the risk per release goes up — slow and scary at the same time.
Types stop at the boundary
The API returns a shape the front end believes is a different shape. TypeScript is on, and both sides are lying to each other in a way that only shows up for the customer with the unusual data.
The retry that wrote twice
A gateway timeout, a client retry, one operation applied twice. Small enough to absorb, large enough to prove the write path was never idempotent — and once you cannot trust the data, you cannot trust anything built on it.
Embedded Finance, San Francisco. Most of what this page argues — idempotent write paths, contract tests, a release you can roll back — came out of building for people whose product moves other people’s money. FinTech & banking at Fluvius →
Four pieces of work, stated flatly. Each links to its own case page.
A compliance-grade customer onboarding journey, written on-site alongside RAKBANK’s own engineering team — in the bank’s environment, its review process and its release path. The hard part is not the form. It is that every step of the journey is also a control, and the code is read by bank reviewers before it ships.
Shares, futures and forex: one-click order entry, custom charting, live feeds — in a browser. The hard part is burst load: keeping charts, feed and order entry responsive together, and making reconnect behaviour honest, so a stale price is never presented as a live one.
A donation platform for media: React and TypeScript on the front, Node.js and MongoDB behind, Stripe and PayPal in the write path — plus a Chrome extension that has to behave inside pages we do not control. Built from zero to a working beta the client could put in front of real donors.
We built the React front end and the product layer of a multi-role real-estate platform: owners and managers on profitability, pricing and leases; tenants on search, requests and payments. An operational surface people use all day cannot make them wait — that is a front-end engineering constraint, not a design preference.
Node serves every request on one thread. Synchronous work in a handler — a big JSON parse, a crypto call, a loop over too much data — blocks all of them. Drag the slider and watch the queue grow while the average still looks fine. This is the most common Node mistake in production, and code generators ship it silently.
The mean is what the status page shows. The p99 is what your best customer feels.
Nobody notices the app. This is what healthy looks like.
The fix is rarely exotic: move the work off the loop, stream instead of buffering, paginate the query, or measure before arguing. This is the discipline behind the trading terminal staying responsive with live feeds and order entry on one screen.
Timelines are indicative ranges and depend on scope.
Your process, your conventions, your review path — the RAKBANK pattern. You get engineers, not a managed layer between you and them.
React with Vite or Next.js on the front end, Nest.js API on Node.js, database, integrations, CI/CD. Architecture signed off by a senior architect before development starts.
We take the endpoint, the module or the service everyone routes around, put tests around its current behaviour, then change it.
Profiling, list virtualisation, bundle and render work with Vite, third-party script audit. Before-and-after measurements on your own data, not a lighthouse screenshot.
Versioning that lets old mobile builds keep working, generated types shared between client and server, contract tests, idempotent write paths.
Module by module, tests pinning behaviour that must stay identical, system in service throughout — the Go-to-Node pattern.
None of these are exotic. All of them are the difference between a codebase that ages and one that decays.
Owners on profitability and leases, tenants on requests and payments, four systems with four update rhythms behind one surface. Keeping that responsive is a front-end engineering constraint, not a design preference. UnitBeat case →
One page, 16 questions about your Node and React codebase you should be able to answer in under a minute — whether your write paths are idempotent, what blocks the event loop, where your types stop, how a release is rolled back, what p99 looks like against the mean, and which journeys have automated coverage.
A free 30-minute working session, not a sales call. We tell you what we would do first and what it would cost to be wrong. You keep a one-page written read either way — the risk we would attack first, the tests we would write before touching anything, and the two things we would leave alone.
A senior software engineering team that uses AI as an industrial-grade tool — advanced Claude Code workflows in experienced hands.
