Hire React Developers

Hooks and state are where React experience shows first. A strong developer knows when state belongs in a component, when it should be lifted, and when it is really server data that belongs in a cache such as React Query rather than in a global store. Watch for useEffect used to sync derived values, missing dependency arrays, and stale closures - these are the most common sources of subtle React bugs.

Server Components and Next.js have changed how React apps are structured. A senior developer should be able to explain which parts of a page render on the server, where the client boundary sits, how data fetching and caching work in the App Router, and why pushing interactivity down to small client components keeps bundles lean. TypeScript should be strict by default, with typed props, typed API responses and no casual use of any.

Testing and performance round out the profile. Look for React Testing Library tests that assert on what the user sees rather than on implementation details, Playwright for end-to-end flows such as sign-up and checkout, and comfort with the React DevTools Profiler to find unnecessary re-renders before reaching for memo everywhere.

The first weeks usually go on learning the codebase and shipping small, low-risk changes: fixing bugs, tightening types, and adding tests around areas that are about to change. This builds context and shows the reviewers on your side how the developer works before larger work is handed over.

After that, the work typically moves to owning features end to end - a new dashboard view, a checkout step, a migration of a page from the Pages Router to the App Router - plus at least one improvement that pays back across the app, such as extracting shared components into a design system, cutting bundle size, or fixing Core Web Vitals regressions flagged in field data.

Skip algorithm puzzles. A better signal comes from a short, realistic exercise: give the candidate a small component with a bug, a stale-state issue and no tests, and ask them to fix it, explain the cause and add a React Testing Library test. Then walk through a pull request of theirs, or a design question such as how they would split a product page between server and client components.

Listen for trade-offs rather than buzzwords. Good answers mention accessibility, loading and error states, and how a choice affects bundle size or caching. With PixoBots you interview the developer yourself before they start, and an NDA is signed before kickoff so you can share real code during the evaluation.

AI tools are well suited to the repetitive parts of React work: drafting a typed component from a design spec, generating prop interfaces from an API schema, writing the first pass of React Testing Library and Playwright tests, and converting class components or Pages Router routes into their modern equivalents.

The developer stays responsible for the parts that need judgement - where the server and client boundary goes, how state is shaped, whether a generated hook has a dependency bug, and whether the markup is genuinely accessible. Every AI-drafted change is read, run and reviewed by the developer before it reaches your repository, and you own the resulting code and IP.