Is a full-stack team worse than specialists?

For large systems with dedicated platform needs, specialists win. For products up to a reasonable size, full-stack engineers ship faster because most features touch every layer, and a feature that needs three people to coordinate takes three times as long to get right.

What stack do you default to?

TypeScript everywhere, React and Next.js on the front end, Node.js on the back, Postgres or MongoDB depending on the data shape. We will use something else when your team already runs it — your maintainability beats our preference.

Can you join an existing codebase?

Yes, starting with an audit of architecture, dependencies and test coverage, then a recommendation to extend, refactor incrementally or replace module by module. We do not open with a rewrite.

One team, whole stack

Full-Stack Development

Full-stack development means one team builds the interface, the server, the database and the deployment pipeline for a product. MOMT works primarily in TypeScript across React, Next.js and Node.js, so the same engineers own a feature from the button to the schema.

Talk about full-stack See the work

01BuildSoftware that holds up after launch day.

Typical timeline: 4–12 weeks

Tools & stack

TypeScript
React
Next.js
Node.js
PostgreSQL
MongoDB
Docker
AWS

Outcomes

Team, whole stack: 1; Team, whole stack
End to end: TypeScript; End to end
Shippable builds: Weekly; Shippable builds

8 deliverables

What's included

Front end, back end, database and infrastructure built by the same engineers — so nothing gets lost between three specialists.

Front-end application (React / Next.js)
Back-end services and API layer
Database design and migrations
Authentication and authorisation
Automated tests on critical paths
CI/CD and environment setup
Observability: logging, metrics, alerts
Technical documentation and handover

4 steps

How it works

Typical timeline: 4–12 weeks

01
Slice by feature, not by layer
Work is cut into vertical slices that ship end to end, so every week produces something usable rather than a finished back end with no interface.
02
Build the spine first
Data model, auth and the primary journey, which is where the architectural mistakes get made and where they are cheapest to fix.
03
Harden
Tests on what would hurt if it broke, error handling, and performance work against real data volumes.
04
Ship and document
Production deployment, monitoring, and documentation written for whoever maintains it next — including if that is not us.