Hire Fullstack developers in 48 hours.

A fullstack engineer is not "two specialists in one seat." They are a T-shaped engineer: deep in one layer, genuinely competent across the rest. Knowing when that shape is the right hire — and when it isn't — saves you from the two most common staffing mistakes in early product work.

One fullstack engineer beats two specialists when the work is feature-shaped rather than layer-shaped: an MVP where the same person should own auth, data model, API, and UI; a small team where coordinating a separate frontend and backend specialist costs more than it saves; a product that ships faster because nobody waits on a handoff. For a startup building its first version, one engineer who can take a feature from database to deployed UI usually beats two who each own half of it.

Specialists win when the problem is deep rather than broad: query optimisation under real load, rendering performance on a complex frontend, native mobile, or a specialised domain like ML or video. There, depth is the whole point and a generalist will plateau.

We are direct about the failure mode "fullstack" can hide — the engineer who is mediocre at everything and deep in nothing. Our vetting exists to screen exactly that out. The full decision framework, by product stage and team size, is in our guide: Full Stack Developer vs Specialist: When the Generalist Approach Works.

A real T-shape has to be tested in two directions: depth in one layer, verified the way you would verify a specialist, plus competence across the rest. We run three hands-on exercises rather than trivia.

• Schema design. Model a real domain — say a desk-booking system with users, desks, bookings, and a points ledger. We look for sane normalisation, the right indexes and constraints, and a migration story that survives production. The points ledger on Hydesq had to stay ACID-correct under concurrent bookings; that is the bar.
• UI state. Build a non-trivial interface and reason about state: server state versus local state, loading, error, and empty states, and where re-renders come from. This is where "competent across the rest" gets real.
• Deploy and debug. Ship to a real environment, read the logs, fix a failing build or a broken deploy. Owning a feature end-to-end is meaningless if the engineer stops at "works on my machine."

Every candidate's pull requests are reviewed by a senior engineer — our CTO has personally calibrated this bar across our hire-stack pods. We would rather pass on a strong specialist who can't own a whole feature than ship you a generalist who is shallow in every layer.

How many fullstack engineers you need depends on the stage of the product, not a price list.

• Solo fullstack — for an MVP. One senior engineer owns the whole product: schema, API, web, and mobile. This is the Hydesq shape — the fastest path from concept to first users when scope is feature-broad rather than depth-heavy.
• Fullstack pair + designer — for a product build. Two engineers plus a designer, the shape behind the accounting client portal — enough to move on two tracks while keeping one coherent architecture.
• Pod with QA — for scale. Add dedicated QA and, as the product deepens, bring in a specialist for the one layer that now needs depth. At that point you may want a React specialist or a Node.js specialist alongside the fullstack core.

Engagement is a dedicated, full-time monthly retainer — starting at $10k/month for a single senior engineer — with no shared-across-clients dilution and no long lock-in, the same model described on our staff augmentation page. For how dedicated-team budgets actually break down, see how much it costs to hire a dedicated development team in 2026.