AI-generated skills test

React test

Almost every product team building for the web reaches for React, so the keyword appears on nearly every front-end resume. What it does not tell you is whether a candidate can decide where state should live, avoid the re-render that turns a smooth list into a stutter, or untangle a stale closure inside a `useEffect`. Those are the calls that decide whether a UI ships clean or drowns in bugs, and none of them show up on a CV. A structured React test replaces that guesswork with evidence drawn from the work the role actually involves.

H-Evaluate's React test puts candidates in front of realistic component and state problems rather than trivia about the framework's history. They compose components, manage state and effects, handle events and data, and diagnose why a component renders wrongly or too often — the same texture as day-to-day UI work. Every candidate faces a comparable, structured challenge, so you compare fairly and predict on-the-job performance. Because engineers now build alongside AI assistants that emit plausible-looking components fast, the test observes whether a candidate can verify that generated code is actually correct. In H-Evaluate's five-pillar framework this sits in the Domain pillar, with questions AI-generated fresh for each role rather than pulled from a shared bank.

What it measures

Component composition and structure

Breaking a UI into well-scoped components, lifting shared logic sensibly, and keeping props and boundaries clean. Good structure is what lets a team extend a screen without every change rippling into unrelated parts of the tree.

State and effects

Deciding where state belongs, using hooks like useState, useEffect and useReducer correctly, and avoiding stale closures and unnecessary effects. This is where most real React bugs originate, so it is the sharpest signal of genuine command.

Rendering and performance

Understanding what triggers a re-render, keying lists correctly, and using memoisation deliberately rather than as a reflex. Separates candidates who write UIs that stay responsive as they grow from those who ship subtle performance regressions.

Debugging and verification

Reading an unfamiliar component, working out why it misbehaves, and judging whether a fix — including one an AI assistant suggests — is genuinely correct rather than merely hiding the symptom. Real UI work is mostly reading and verifying, not greenfield building.

Question formats

Live coding tasks in a sandboxed environment, building or completing a component against expected behaviourDebugging exercises on real components that render incorrectly, too often, or with stale stateCode-reading questions on hooks, render behaviour and why a component updates when it doesSmall state-management scenarios that mirror real interactive UI workMultiple-choice items on hooks rules, keys, effects and rendering for quick screeningShort written responses explaining a design choice or how a fix should be verified

Who it's for

This React test suits front-end and full-stack hiring where React is the core UI framework — component developers, UI engineers, and full-stack engineers who own the client, with difficulty scaled to the role. It works well as an early screen that replaces unstructured phone screens, and as a structured stage before an on-site or system-design interview. Pair it with a JavaScript or TypeScript test when you want to confirm the language reasoning that underpins strong React work.

How to read the results

1Read the overall result as a shortlisting band, not a pass-or-fail verdict — it shows who has cleared a credible bar of practical React ability and earned deeper interview time.
2Look at the competency breakdown: someone fluent at composition but weak on state and effects, or strong on both yet blind to rendering cost, gives you a precise area to probe next.
3Weight areas to the role. State, effects and debugging matter for almost any React hire; rendering and performance carry extra weight for data-heavy dashboards and large interactive apps.
4Treat the score as one calibrated signal against a role benchmark, paired with a structured interview that covers collaboration and how a candidate reasons through unfamiliar UI problems — never a single automatic gate.

AI-generated skills test

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Related roles

Frontend Engineer

Frequently asked questions

What does a React test measure?

A React test measures whether a candidate can build and reason about real components rather than whether React sits on their CV. A good one covers component composition, state and effects with hooks, rendering and performance, and debugging components that misbehave — the everyday skills that decide whether someone ships clean, responsive UI or introduces subtle, hard-to-trace bugs.

Should I test React or plain JavaScript first?

For most front-end roles, assess core JavaScript and, where relevant, TypeScript alongside React rather than in place of it. Strong language fundamentals underpin good React, so a candidate weak on closures or async will struggle with hooks regardless of framework knowledge. If React is central to the day-to-day work, a dedicated React stage confirms the component and state skills a language test alone cannot show.

Are React tests reliable for hiring front-end engineers?

A well-built React test is a reliable selection method because every candidate faces comparable, job-relevant component and debugging tasks judged against the same standard, which reduces the influence of interview polish. Reliability improves when you read results as a band, weight the competencies the role needs, and pair the test with a structured interview rather than treating one number as a pass-or-fail gate.

Does the test cover hooks and modern React?

Yes. The tasks are built around modern function components and hooks — useState, useEffect, useReducer and related patterns — because that is how React is written today, along with the rendering behaviour and rules that govern them. Rather than quiz outdated class-component trivia, the test observes whether a candidate can use hooks correctly and avoid the stale-state and re-render pitfalls that cause real bugs.

Can candidates cheat a React test with AI assistants?

Candidates now build alongside AI assistants that produce plausible-looking components fast, so a modern test is designed around that reality. H-Evaluate delivers questions in a monitored AI Sandbox with an integrity engine, and the tasks reward what tools cannot fake: reading generated components critically, spotting where the state or rendering is wrong, and verifying that a solution actually behaves correctly under real interaction.