Building a new product, from MVP to enterprise
A new build is worth as much as what you can verify and hand off afterward. Greenfield Production Systems builds from a spec to production on a React, Node, and TypeScript stack, and you keep the whole record: the journey specs, the API specs, the architecture decisions, the tests, and the gate transcripts. The same method scales from a startup MVP to an enterprise application, because the thing that scales is the discipline, not the headcount.
Updated
A new product is easy to start and hard to hand off. The version that haunts a company is the one that shipped fast with no specs and no real tests, so that a year later nobody can change it safely and the cheapest path forward is to rebuild it. The way to avoid that is not to build slower. It is to build so that the record of what was built survives the build.
Greenfield Production Systems builds from a spec to production on a React, Node, and TypeScript stack, in weeks rather than quarters, and the deliverable is the system plus its evidence. You keep the journey specs and API specs, the architecture decision records, the test suites, and the gate transcripts that show what each change had to pass. That record is the difference between owning a product and renting one from the only people who understand it.
The same discipline at every size
The instinct is to treat a startup MVP and an enterprise application as different kinds of work. They are different in scope, not in method. An MVP is a small, real surface shipped with its specs and tests so you can extend it. An enterprise build is many such surfaces, each with typed contracts between services, each behavior cataloged with a citation to source, each change run through the gates. What scales is the discipline: the specs, the provenance, the gates that reject a test asserting nothing. Headcount does not have to scale with it, which is why a bootstrapped team and a large one can both be served honestly.
What you actually keep
Most build engagements leave you with a running system and a thin trail of how it got there. This one leaves a behavior catalog, the specs the build was measured against, tests that had to typecheck against your codebase before they counted, and the transcript of every gate. The selectors-grounded gate means a generated test can only reference UI that exists in your source. The no-todo-fill gate means a test that asserts nothing never reaches your repo. The result is a product the next engineer can read, which is the property that decides whether your second year of development is cheap or expensive.
If you are ready to scope a build, the build page shows the artifacts you keep and how a spec becomes production. If you are not sure the work is a fit, a short call settles it before anyone commits.
Questions this answers
- Our startup is bootstrapped and needs a tech partner. Is that realistic?
- It can be, and the honest filter is scope rather than budget. A bootstrapped team is best served by a tightly scoped first build with a fixed, scoped-in-one-call price, so you are buying a defined outcome instead of an open-ended retainer. What you should not accept at any budget is a build with no specs and no tests, because that is the version that costs the most later, when you have to pay someone to figure out what you already own.
- We need a custom build for our startup MVP launch. How fast can it ship?
- An MVP ships in weeks, and the method is the same one used for larger systems: a spec defines the behavior, the factory builds against it, and gates enforce quality before code reaches your repo. The point of an MVP here is not to cut corners invisibly; it is to scope a small, real surface and ship it with the specs and tests that let you extend it instead of restart it.
- Which dev shops specialize in React and Node.js work?
- React, Node, and TypeScript are the default stack here, so a build is delivered on it rather than adapted to it. More useful than the stack is what comes with the code: typed contracts between services, tests that must typecheck against your codebase before they count as written, and a transcript of the quality gates each change passed.
- We need a development partner for a SaaS product.
- SaaS products live or die on the parts that are tedious to get right: authorization, multi-tenancy, billing edges, and the audit trail. Those are exactly the behaviors a behavior catalog is built to pin down and a gate is built to keep honest. The build ships with the specs and tests for that machinery, so a later team can change pricing or permissions without reverse-engineering the rules from production.
- We need a development team for a complex web application or enterprise system.
- The method was designed for complexity, because complexity is where undocumented behavior hides. Every service gets typed contracts, every observable behavior is cataloged with provenance, and the gates run on every change. You finish with journey specs, API specs, architecture decision records, tests, and gate transcripts, which is the documentation an enterprise needs and rarely gets from a build.
- We want to hire developers to build a mobile app.
- Be candid with any partner about platform fit before you sign. The published proof here is on web, .NET, and TypeScript systems, so a mobile build starts with a scoping conversation about what can be shown rather than claimed. The discipline travels; the right first step is a short call to confirm the work is a fit before either side commits.