Interviews/Application Development/Full Stack Developer

Hire Full Stack Developers
who actually ship features end to end

With EasyEnv we build a fit test for the role. Use it to cut the noise at the top of the funnel, or to go deep on the candidates who matter.

You can even evaluate how this person works with AI. So you hire the engineer who can ship, not the one who looks good in a slide.

React · Vue · Next.jsNode.js · Python · GoPostgreSQL · RedisVite · PlaywrightLive or take-home

Request a Demo Create a Free Account

Real Linux VM

Not a sandbox

systemd, kernel, full toolchain

Browser-based

Zero install for candidates

One link and they are in

Auto-graded

Pass / fail checks per challenge

Plus the full session replay

A great full stack developer carries an idea from form to database without dropping it. The good ones think about boundaries, transactions and the user at the same time. EasyEnv hands the candidate a real app with a half-built feature and asks them to finish it.

Inside a live interview

What you see when they work.

Real app, real database, every keystroke recorded.

billing-api

AMS

Billing-api

src

billing.py

auth.py

models.py

tests

test_billing.pyM

test_auth.py

pyproject.toml

README.md

Pybilling.py

from decimal import Decimal

def calculate_total(items: list[dict]) -> Decimal:

# Sum line totals using Decimal for currency precision

total = Decimal("0")

for item in items:

total += Decimal(str(item["price"])) * item["qty"]

return total

candidate@fullstack-workspace:~

alice@dev:~/billing-api$

● mainPython 3.12

Claude · ready

Claude

You

Refactor calculate_total to use Decimal for currency math, and add a test.

Claude

Ask Claude...

Mike

Sam

How it works

Three steps. Zero infra to maintain.

Pick the fit test

Use a ready-made challenge or ask us to build one for your stack. Live, take-home, or both.

Send one link

The candidate clicks. A full Linux workspace boots in their browser. No installs, no VPN, no zoom-share.

Review at 2x

Replay the session, read the auto-graded checks, and decide. Most reviews take under five minutes.

The problem

Why hiring a Full Stack Developer is hard.

Full stack is a wide claim. Few candidates are equally strong across UI, API and database.

End-to-end work needs taste at every layer. The interview has to surface it.

Test coverage matters across stacks. CVs gloss over it.

Latency budgets cross layers. Candidates have to think in budgets, not in tickets.

The fit test

What we measure for a Full Stack Developer.

Every area runs inside a real production-like workspace. The candidate works in a browser, the session records itself.

Finish a feature

A half-built feature with form, API and DB pieces missing. They complete it.

Cross-layer debug

A bug that lives between the UI and the DB. They isolate without guessing.

Auth and roles

A new endpoint that needs role-based access. They wire it cleanly.

End-to-end performance

A page slow because of a UI + API stack. They profile both.

CLI fluency

pnpm, psql, curl, playwright. They use them, not just the IDE.

AI collaboration

Allow AI and grade whether they reconcile the front and back end of what the LLM produced.

The stack we put in front of them.

Real tools, pre-installed, accessible from the workspace terminal.

ReactVueNext.jsRemixNode.jsTypeScriptPythonGoPostgreSQLRedisPrismaDrizzleTailwindVitestPlaywrighttRPC

Sample challenges

What a Full Stack Developer interview looks like.

Pick from our library or ask us to build a challenge for your stack. Each one is a real workspace, not a snippet.

Challenge 01

Land the form-to-DB path

Scenario

A "create invoice" feature with the form built and the API stub empty. The candidate has the UI, the API and the DB.

What you learn

Whether they handle validation, error states and edge cases at every layer.

In the workspace

$ ls challenges/

workspace, runbook.md, README.md

candidate has:

· a real Linux box in the browser
· kubectl, docker, terraform, jq, yq
· cluster, repo and cloud creds pre-wired
· auto-checks running in the background

interviewer sees:

· every keystroke + every command
· terminal + screen recording
· auto-graded pass/fail per check

AI in the loop

Score the engineer, and how they work with AI.

AI ships the happy path quickly and forgets the boundaries between layers. EasyEnv records the prompts so you see whether the candidate reconciled the LLM-suggested handler with the DB schema and the UI types before they merged.

Allow or block AI per question, not per interview

Full prompt and response history replayed in the review

Score "verifies AI output" as a separate signal

Ready to hire a Full Stack Developer who ships?

Set up your first interview in under an hour. We will help you build a fit test for this role on your stack.

Request a Demo Create a Free Account

Role FAQ

Hiring a Full Stack Developer, answered.

On enterprise plans we can pre-load the workspace with your exact framework, ORM and test runner.

Yes. Mobile simulators and a web frontend can live in the same workspace.

No. The workspace runs in their browser. Terminal, editor, ports and dashboards are all served from the EasyEnv workspace, so candidate setup is zero.

Each challenge has automated checks (did the service come back, did the test pass, did the right log message appear) plus a recording your team can replay. Most reviews take under five minutes.

Yes. AI access is a per-interview setting. Block it for fundamentals, then allow it later in the loop to assess AI collaboration separately.

Interviews/Application Development/Full Stack Developer

Hire Full Stack Developers
who actually ship features end to end

With EasyEnv we build a fit test for the role. Use it to cut the noise at the top of the funnel, or to go deep on the candidates who matter.

You can even evaluate how this person works with AI. So you hire the engineer who can ship, not the one who looks good in a slide.

React · Vue · Next.jsNode.js · Python · GoPostgreSQL · RedisVite · PlaywrightLive or take-home

Request a Demo Create a Free Account

Real Linux VM

Not a sandbox

systemd, kernel, full toolchain

Browser-based

Zero install for candidates

One link and they are in

Auto-graded

Pass / fail checks per challenge

Plus the full session replay

Inside a live interview

What you see when they work.

Real app, real database, every keystroke recorded.

billing-api

AMS

Billing-api

src

billing.py

auth.py

models.py

tests

test_billing.pyM

test_auth.py

pyproject.toml

README.md

Pybilling.py

from decimal import Decimal

def calculate_total(items: list[dict]) -> Decimal:

# Sum line totals using Decimal for currency precision

total = Decimal("0")

for item in items:

total += Decimal(str(item["price"])) * item["qty"]

return total

candidate@fullstack-workspace:~

alice@dev:~/billing-api$

● mainPython 3.12

Claude · ready

Claude

You

Refactor calculate_total to use Decimal for currency math, and add a test.

Claude

Ask Claude...

Mike

Sam

How it works

Three steps. Zero infra to maintain.

Pick the fit test

Use a ready-made challenge or ask us to build one for your stack. Live, take-home, or both.

Send one link

The candidate clicks. A full Linux workspace boots in their browser. No installs, no VPN, no zoom-share.

Review at 2x

Replay the session, read the auto-graded checks, and decide. Most reviews take under five minutes.

The problem

Why hiring a Full Stack Developer is hard.

Full stack is a wide claim. Few candidates are equally strong across UI, API and database.

End-to-end work needs taste at every layer. The interview has to surface it.

Test coverage matters across stacks. CVs gloss over it.

Latency budgets cross layers. Candidates have to think in budgets, not in tickets.

The fit test

What we measure for a Full Stack Developer.

Every area runs inside a real production-like workspace. The candidate works in a browser, the session records itself.

Finish a feature

A half-built feature with form, API and DB pieces missing. They complete it.

Cross-layer debug

A bug that lives between the UI and the DB. They isolate without guessing.

Auth and roles

A new endpoint that needs role-based access. They wire it cleanly.

End-to-end performance

A page slow because of a UI + API stack. They profile both.

CLI fluency

pnpm, psql, curl, playwright. They use them, not just the IDE.

AI collaboration

Allow AI and grade whether they reconcile the front and back end of what the LLM produced.

The stack we put in front of them.

Real tools, pre-installed, accessible from the workspace terminal.

ReactVueNext.jsRemixNode.jsTypeScriptPythonGoPostgreSQLRedisPrismaDrizzleTailwindVitestPlaywrighttRPC

Sample challenges

What a Full Stack Developer interview looks like.

Pick from our library or ask us to build a challenge for your stack. Each one is a real workspace, not a snippet.

Challenge 01

Land the form-to-DB path

Scenario

A "create invoice" feature with the form built and the API stub empty. The candidate has the UI, the API and the DB.

What you learn

Whether they handle validation, error states and edge cases at every layer.

In the workspace

$ ls challenges/

workspace, runbook.md, README.md

candidate has:

· a real Linux box in the browser
· kubectl, docker, terraform, jq, yq
· cluster, repo and cloud creds pre-wired
· auto-checks running in the background

interviewer sees:

· every keystroke + every command
· terminal + screen recording
· auto-graded pass/fail per check

AI in the loop

Score the engineer, and how they work with AI.

Allow or block AI per question, not per interview

Full prompt and response history replayed in the review

Score "verifies AI output" as a separate signal

Ready to hire a Full Stack Developer who ships?

Set up your first interview in under an hour. We will help you build a fit test for this role on your stack.

Request a Demo Create a Free Account

Role FAQ

Hiring a Full Stack Developer, answered.

On enterprise plans we can pre-load the workspace with your exact framework, ORM and test runner.

Yes. Mobile simulators and a web frontend can live in the same workspace.

No. The workspace runs in their browser. Terminal, editor, ports and dashboards are all served from the EasyEnv workspace, so candidate setup is zero.

Each challenge has automated checks (did the service come back, did the test pass, did the right log message appear) plus a recording your team can replay. Most reviews take under five minutes.

Yes. AI access is a per-interview setting. Block it for fundamentals, then allow it later in the loop to assess AI collaboration separately.

How to Hire a Full Stack Developer | EasyEnv | EasyEnv

Hire Full Stack Developerswho actually ship features end to end

What you see when they work.

Three steps. Zero infra to maintain.

Pick the fit test

Send one link

Review at 2x

Why hiring a Full Stack Developer is hard.

What we measure for a Full Stack Developer.

Finish a feature

Cross-layer debug

Auth and roles

End-to-end performance

CLI fluency

AI collaboration

The stack we put in front of them.

What a Full Stack Developer interview looks like.

Land the form-to-DB path

Score the engineer, and how they work with AI.

Ready to hire a Full Stack Developer who ships?

Hiring a Full Stack Developer, answered.

Hire Full Stack Developerswho actually ship features end to end

What you see when they work.

Three steps. Zero infra to maintain.

Pick the fit test

Send one link

Review at 2x

Why hiring a Full Stack Developer is hard.

What we measure for a Full Stack Developer.

Finish a feature

Cross-layer debug

Auth and roles

End-to-end performance

CLI fluency

AI collaboration

The stack we put in front of them.

What a Full Stack Developer interview looks like.

Land the form-to-DB path

Score the engineer, and how they work with AI.

Ready to hire a Full Stack Developer who ships?

Hiring a Full Stack Developer, answered.

Hire Full Stack Developers
who actually ship features end to end

Hire Full Stack Developers
who actually ship features end to end