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Nearly every developer with three years of experience has touched both frontend and backend, and most will describe themselves as full stack. Genuine depth on both sides is much rarer than the CV market suggests.
The pattern is consistent. A frontend developer who can write a CRUD endpoint calls themselves full stack, then designs a database schema that makes every future query awkward. A backend developer who can assemble a React page calls themselves full stack, then ships an interface that works but nobody wants to use.
Neither is a bad hire. Both are the wrong hire if you needed the other half.
Database design is where the weakness usually shows. It’s the part that’s hardest to fix later, it doesn’t produce visible output, and it’s the first thing a frontend-leaning developer skips. We screen for it deliberately.
Not simply having used React and Node. Can they explain a rendering decision and a query plan in the same conversation?
Schema normalisation, indexing, migration strategy. The most common gap and the most expensive one.
Where the two halves meet. A developer who designs the contract well makes everything downstream easier.
Full stack usually means owning the path to production too. Docker, pipelines, environment configuration.
Knowing when to build and when to use something off the shelf. Matters more at small team sizes than raw output.
A live conversation in English, every time.
The expensive failure is a schema decision made in week two by someone whose real strength is the interface.
A worked example we see often. Storing a flexible set of attributes as JSON in Postgres because it’s quick and the requirements aren’t settled. Reasonable at the time. Eighteen months later, that column holds the field every report filters on. You can’t index it usefully without a generated column, you can’t enforce a constraint on it, and three services now read it with slightly different assumptions about what’s inside. Normalising it means a migration, a backfill, and touching every consumer.
The mirror-image failure costs less but shows up sooner. A backend-leaning developer builds the admin interface with no loading states, no optimistic updates, and a form that discards everything on a validation error. It functions. Support tickets tell you what users think of it.
The bill usually arrives with the next hire. When you eventually bring in a specialist for whichever side was neglected, their first quarter goes on unpicking earlier decisions rather than shipping anything new. You pay twice: once for the original work, and again for the months it takes to make that work safe to change.
Right when: you’re pre-specialisation, your team is under five engineers, you’re building an MVP, or the work genuinely spans both sides daily. One person holding the whole picture moves faster than two coordinating.
Wrong when: you have meaningful complexity on either side. A demanding interface needs a frontend specialist. A high-throughput backend needs someone who thinks about it full-time. Hiring one generalist for a job that needs two specialists produces a bottleneck rather than a saving.
We’ll tell you honestly which one your situation is. Recommending two specialists when that’s the right answer costs us nothing and saves you a failed engagement. See React and Node.js if you already know you need depth on one side.
React + Node. The most common, and the most genuinely full stack — one language throughout. Deepest talent pool.
React + Python. Common where there’s data or ML work adjacent. Requires real competence in two languages, so a smaller pool.
Next.js. Increasingly the default for full stack in one framework. Screen for it separately — Next.js experience is not implied by React experience.
Most of our full stack placements go to product teams at SaaS companies building toward their first specialised hires.
Week one. They run the whole stack locally — frontend, API, database, and whatever queue or cache sits between them. Expect questions that cross the boundary: how the API contract is agreed, whether there are shared types, what happens when a migration ships ahead of the frontend that needs it. Someone genuinely full stack asks about deployment order in the first week, because they know that’s where the two halves collide.
Weeks two to four. They ship a feature that crosses the boundary — a schema change, an endpoint, and the interface that consumes it — with tests on both sides. This is the real test, and it’s worth structuring their first feature deliberately to require it.
The warning sign is a developer who gravitates to one half and stays there. Four weeks in, look at what they actually touched. If every pull request is frontend and the backend work quietly went to someone else, you hired a specialist who interviews as a generalist.
Watch which side they reach for first. Given an ambiguous problem, most full stack developers solve it where they are most comfortable: a query problem gets patched in the client, or a rendering problem gets solved with another endpoint. Noticing that pattern in month one tells you where their depth actually sits, and where you will eventually need support.
Testing both halves in the same interview round. Candidates who are strong on one side and adequate on the other will steer the conversation toward their strength, and interviewers let them because the discussion is going well. Run two separate rounds with different interviewers. The gap becomes obvious immediately.
Hiring full stack to save money rather than to fit the work. One full stack developer is cheaper than two specialists and slower than two specialists. That trade is correct for an MVP and wrong once either side has real complexity. The switching point is usually when one half consistently blocks the other for a sprint or more.
Skipping the database round because the ORM handles it. Prisma, Drizzle, and SQLAlchemy all make it easy to write queries without understanding them. Ask a candidate to design the schema for something small — a booking system with cancellations is a good one — and to explain what they’d index. Fifteen minutes, and it’s the most predictive question on this list.
Hiring for range and then handing over a specialist’s backlog. The brief says full stack, the first quarter turns out to be almost entirely interface work because that is what was already queued, and half of what you hired never gets exercised. You paid for range and effectively bought a frontend developer with a broader CV. Read the actual backlog before you write the brief — if three months of it sits on one side, hire for that side instead.
Rates depend on seniority, stack coverage, and engagement length. Tell us the role and we’ll give you a firm number.
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