The Questions Every Developer Actually Asks

Q

When should I stop using useState and upgrade to a state library?

A

When you find yourself prop-drilling through 3+ component levels or lifting state up to a common ancestor that's far from where it's used. If you're passing callbacks down 4 component levels just to update a simple counter, you need global state.The tipping point? When you spend more time managing props than building features. I've seen teams waste weeks passing user authentication state through every component when Context would've solved it in 30 minutes.

Q

Is Redux still worth learning in 2025?

A

Yes, if you're joining large teams or enterprise projects. Redux powers Instagram, WhatsApp, and Uber, so it's not disappearing. But for new projects, Zustand's weekly downloads show it's becoming the practical choice.Redux makes sense when you need strict patterns, time-travel debugging, or middleware for complex async flows. Skip it for side projects or small teams where flexibility matters more than structure.

Q

Why does everyone recommend Zustand now?

A

Because it solves Redux's main problems without creating new ones. Zustand gives you global state with 90% less boilerplate and better Type

Script support. No actions, reducers, or providers

  • just stores that work like React state.The performance is also better. Zustand only re-renders components that subscribe to specific state slices, while Context re-renders everything consuming that context. For complex UIs, this difference is huge.
Q

Should I use Context API for anything beyond themes and auth?

A

Probably not.

Context was designed for infrequently changing data like user preferences or app configuration. Using it for frequently updating state (like form data or real-time updates) causes performance problems.Context is perfect for:

  • User authentication status
  • Theme preferences (dark/light mode)
  • Language/locale settings
  • Feature flags

Avoid Context for shopping carts, form validation, or anything that updates multiple times per minute.

Q

What about React Query/TanStack Query vs state management?

A

React Query handles server state (data from APIs), not client state (UI state).

You still need something for local state management. Many teams use React Query + Zustand: React Query for server data, Zustand for client state.Don't try to store UI state in React Query

  • it's designed for caching and synchronizing server data, not managing form inputs or modal visibility.
Q

When do I actually need Redux Toolkit (RTK)?

A

When you have complex state updates that benefit from Redux Dev

Tools, need middleware for logging/analytics, or work on teams where strict patterns prevent bugs.

RTK removes most of Redux's boilerplate while keeping the architecture.

Choose RTK if:

  • Your team has 5+ developers
  • You need sophisticated debugging capabilities
  • State logic is complex with many interdependencies
  • You're building enterprise software with audit requirements

Skip RTK if you're prototyping, building simple apps, or value development speed over architectural purity.

Q

How do I migrate from Redux to Zustand without breaking everything?

A

Don't do a big bang migration. Create new Zustand stores for new features while keeping existing Redux code. Gradually move isolated pieces of state to Zustand when you're already touching that code for other reasons.Start with leaf components (components with no children) and state that doesn't interact with the Redux store. Authentication and user preferences are good candidates for early migration.

State Management Decision Matrix

Factor

useState

Context API

Zustand

Redux Toolkit

Jotai

Setup Complexity

None

Low

Low

Medium

Low

Bundle Size

0KB

0KB

4KB

15KB

4KB

Learning Curve

Minimal

Low

Low

Steep

Medium

TypeScript Support

Good

Fair

Excellent

Excellent

Excellent

DevTools

React DevTools

React DevTools

Redux DevTools

Redux DevTools

Custom

Performance

Excellent

Poor

Excellent

Good

Excellent

Boilerplate

None

Low

Minimal

Medium

Minimal

Team Size Sweet Spot

1-3

1-5

2-15

5+

2-10

How to Actually Choose State Management Without Losing Your Mind

How to Actually Choose State Management Without Losing Your Mind

Stop reading blog posts.

Stop watching YouTube tutorials comparing 15 different state libraries. Your app needs to ship, and you're bikeshedding over architecture decisions that don't matter until you have real performance problems.## Start Simple or Regret It LaterRedux for a todo list is like using a crane to hang a picture frame. I've seen teams spend three weeks setting up Redux store, actions, reducers, and selectors for an app that needed to track whether a modal is open.Start here every time: useState for component-level state.

Add Context when you're prop-drilling through 3+ components.

Upgrade to a global store when Context starts hurting performance.This isn't theoretical advice

  • it's what prevents scope creep and delivery delays. Save the architecture discussions for when you actually have architecture problems.This isn't academic advice
  • it's what actually works when you're building under deadline pressure and changing requirements. The React documentation itself recommends this progressive approach to state management.## The Context API Reality Check

Context gets a bad rap for performance, but it's perfect for certain types of state.

The key insight: Context performance depends on update frequency, not state size.

I use Context for:

  • User authentication (changes once per session)

  • Theme preferences (changes rarely)

  • App configuration (essentially static)I avoid Context for:

  • Form data (changes constantly)

  • Shopping carts (frequent updates)

  • Real-time data (performance death)Context works great when you update state a few times per user session.

It falls apart when state updates multiple times per minute.The Performance Reality: In applications with deep component trees consuming Context, a single state update can trigger hundreds of unnecessary re-renders.

I've profiled apps where changing a user's theme preference caused 50+ form components to re-render, making the UI feel unresponsive even though the theme had nothing to do with the forms.Context's dirty secret: every context consumer re-renders when the context value changes, regardless of whether that consumer uses the specific piece of data that changed.

This is why forms managed with Context feel sluggish. The React team acknowledges this limitation and suggests splitting contexts for frequently updating data.## Why Zustand Won The Developer Experience WarZustand succeeded where MobX and other Redux alternatives failed because it nailed the developer experience.

No providers, no boilerplate, no ceremony

  • just stores that work like React state but globally accessible.Here's what made me switch from Redux to Zustand for new projects:Redux: Add a counter to your app (47 lines of boilerplate)```javascript// 1.

Action typesconst INCREMENT = 'counter/increment';// 2. Action creators const increment = () => ({ type: INCREMENT });// 3.

Reducerconst counterReducer = (state = { count: 0 }, action) => { switch (action.type) { case INCREMENT: return { ...state, count: state.count + 1 }; default: return state; }}; // 4.

Store setupconst store = createStore(counterReducer);// 5. Component connectionconst Counter = () => { const count = useSelector(state => state.count); const dispatch = useDispatch(); return <button onClick={() => dispatch(increment())}>{count};};**Zustand:** Add a counter to your app (4 lines)javascriptconst useStore = create(set => ({ count: 0, increment: () => set(state => ({ count: state.count + 1 })),}));const Counter = () => { const { count, increment } = use

Store(); return ;};```The performance is also better by default.

Zustand only re-renders components that subscribe to the specific state they use, while Redux re-renders all connected components unless you carefully optimize selectors with Reselect.

In a production dashboard with 200+ components, I measured:

  • Redux (unoptimized selectors): 340ms average update time
  • Redux (optimized with reselect): 85ms
  • Zustand (default behavior): 45msZustand gives you Redux-level performance without Redux-level complexity.

The Zustand documentation shows how this selective subscription model works under the hood.## Redux Isn't Dead (But It's Not Always The Answer)Redux still makes sense for large teams and complex applications, but not for the reasons people usually cite.

It's not about "predictability" or "time-travel debugging"

  • it's about team coordination and debugging in production.Redux excels when you need:

  • Multiple developers working on the same state logic

  • Sophisticated debugging capabilities (Redux DevTools are unmatched)

  • Middleware for logging, analytics, or complex async flows with Redux-Thunk or Redux-Saga

  • Strict patterns that prevent junior developers from foot-gunning the stateBut Redux's biggest strength

  • strict patterns

  • is also its biggest weakness for small teams and rapid iteration.

The ceremony required for simple state updates slows down development when you're moving fast.Bundle Size Reality Check:

  • Redux + React-Redux + RTK: ~15KB gzipped
  • Zustand: ~2.5KB gzipped
  • Context API: 0KB (built into React)For mobile users on slow connections, that 12KB difference between Redux and Zustand can mean the difference between a 2-second and 3-second initial load time.When I choose Redux Toolkit:
  • Teams of 5+ developers
  • Enterprise applications with audit requirements
  • Complex state interactions that benefit from middleware
  • Applications where consistency matters more than development speedWhen I choose Zustand:
  • Small to medium teams (2-8 developers)
  • Rapid prototyping or MVP development
  • Applications where development speed is critical
  • Projects that don't need sophisticated debugging tools## The Jotai Wild CardJotai represents a different approach
  • atomic state management where each piece of state is independent and can be composed.

It's excellent for complex forms and applications with lots of interdependent state.I've used Jotai successfully for:

  • Multi-step forms with complex validation rules
  • Configuration UIs with many interconnected options
  • Applications where state needs to be scoped to specific component trees

Jotai's atomic model shines when you have state that depends on other state.

Traditional global stores get messy when you have 20+ pieces of derived state, but Jotai's atoms compose cleanly.

The downside? Jotai's atomic model can be unfamiliar and lead to "atom proliferation" if you don't establish clear patterns early. The Jotai patterns documentation helps avoid common pitfalls.## Making The Decision In PracticeHere's my actual decision process when starting a new project:Week 1: Start with useState and see how far it gets youWeek 2-3: Add Context for authentication and theme data Month 1: If prop-drilling becomes painful or Context causes performance issues, add ZustandMonth 3+: If team coordination becomes difficult or debugging gets complex, consider migrating to Redux ToolkitThis incremental approach has saved me from over-engineering simple applications and under-engineering complex ones.

You can always upgrade your state management as requirements become clearer.The key insight: state management is not a one-time architectural decision.

It's something you can evolve as your application and team grow.## The Performance Testing You Should Actually DoDon't trust benchmarks from blog posts (including mine). Test with your actual components and data patterns. Here's the performance testing that matters:

  1. Render profiling: Use React DevTools Profiler with your real components
  2. Update frequency testing: Measure performance with realistic update patterns
  3. Memory usage: Check for memory leaks with Chrome DevTools over longer sessions
  4. Bundle impact: Measure the actual bundle size increase in your build

I've seen applications where Context outperformed Zustand due to specific component structures, and others where Redux was faster than expected due to careful selector optimization.

Your mileage will vary.## The Migration Strategy That Actually WorksWhen you do need to migrate from one state solution to another, don't do a big bang rewrite. I've seen too many teams get stuck in migration hell, where half the app uses the old state management and half uses the new one.**Successful migration pattern:**1.

Start with leaf components (components with no children)2. Move isolated state first (authentication, preferences) 3. Gradually move interconnected state when you're already touching that code 4. Keep both solutions running during the transition 5. Remove the old solution only after the new one is fully workingThis approach keeps your app shipping features while you improve the architecture. The worst migration strategy is stopping all feature development to "fix the state management."Here's the uncomfortable truth: Most state management problems aren't actually about Redux vs Zustand vs Context. They're about unclear state ownership, poor component boundaries, and trying to solve architectural problems with library choices.If your components are tightly coupled and your state ownership is unclear, switching from Redux to Zustand won't fix anything. You'll just have the same mess with less boilerplate.Fix your component boundaries first. Clarify what owns what state. Then pick the simplest tool that handles your actual requirements, not your imagined future ones.Your users don't care if you use Redux or Zustand or Context. They care if your app works fast and doesn't break. Focus on that, and the state management choice becomes obvious.

Advanced State Management Questions

Q

How do I handle async state updates without causing race conditions?

A

Race conditions happen when multiple async operations update the same state and complete out of order. The latest request should win, but without proper handling, an older request might overwrite newer data.

Solution: Use request cancellation with AbortController or track request IDs:

const useAsyncStore = create((set, get) => ({
  data: null,
  loading: false,
  requestId: 0,
  
  fetchData: async (params) => {
    const currentRequestId = get().requestId + 1;
    set({ loading: true, requestId: currentRequestId });
    
    try {
      const result = await api.fetch(params);
      // Only update if this is still the latest request
      if (get().requestId === currentRequestId) {
        set({ data: result, loading: false });
      }
    } catch (error) {
      if (get().requestId === currentRequestId) {
        set({ error, loading: false });
      }
    }
  }
}));

This pattern prevents the "user clicks fast, older request overwrites newer one" bug that plagues production apps.

Q

Should I normalize my state like Redux recommends?

A

Only if you actually have relational data. Most React apps don't need the complexity of normalized state. I've seen teams spend weeks normalizing state for simple CRUD apps where keeping data in arrays would've worked fine.

Normalize when:

  • You have entities referenced by multiple parts of your app
  • You frequently update individual items in large collections
  • You need to avoid data duplication bugs

Keep it flat when:

  • Your data is mostly read-only
  • Updates happen to entire objects, not individual fields
  • Your collections are small (< 1000 items)

The complexity of normalization isn't worth it unless you have actual performance or consistency problems with flat data structures.

Q

How do I test components that use global state?

A

Don't mock your state management library - provide test stores with controlled initial state. Mocking Zustand or Redux creates tests that don't reflect real behavior and break when you refactor.

Better approach for Zustand:

// test-utils.js
export function createTestStore(initialState) {
  return create(() => initialState);
}

// component.test.js  
it('shows user name when logged in', () => {
  const TestStore = createTestStore({ user: { name: 'John' } });
  render(<Component />, { 
    wrapper: ({ children }) => <StoreProvider store={TestStore}>{children}</StoreProvider>
  });
  expect(screen.getByText('John')).toBeInTheDocument();
});

This approach tests the actual integration between your component and state management, catching bugs that mocked tests miss.

Q

What's the deal with state management in Server Components?

A

Server Components can't use client-side state management because they render on the server. You'll need to pass data from Server Components to Client Components via props, then manage client state separately.

Pattern that works:

// app/page.js (Server Component)
export default async function Page() {
  const initialData = await fetchUserData();
  return <UserDashboard initialData={initialData} />;
}

// components/UserDashboard.js (Client Component)  
'use client';
export default function UserDashboard({ initialData }) {
  const { user, setUser } = useUserStore();
  
  useEffect(() => {
    // Initialize client state with server data
    setUser(initialData.user);
  }, [initialData, setUser]);
  
  // ... rest of component
}

The server provides initial data, client state takes over for interactive features.

Q

How do I debug performance issues with state updates?

A

Use React DevTools Profiler to identify which components re-render unnecessarily. Most state management performance issues aren't about the library - they're about components subscribing to more state than they need.

Common performance killers:

  • Context providers with frequently changing values
  • Components subscribing to entire stores instead of specific slices
  • Creating new objects/arrays in selectors on every render
  • Not memoizing expensive computations

Debugging process:

  1. Profile your app with realistic user interactions
  2. Look for components that re-render when they shouldn't
  3. Check what state those components are subscribing to
  4. Optimize selectors to be more specific

Most performance problems disappear when you fix over-subscription to state changes.

Q

Should I use a different state management library for each domain?

A

Yes, but be strategic about it. Different types of state have different requirements, and using the right tool for each domain is better than forcing everything into one solution.

Common multi-library setups:

  • React Query for server state + Zustand for client state
  • Context for user preferences + Zustand for application state
  • Local useState for component state + Zustand for shared state

The key is avoiding state synchronization between libraries. Keep the boundaries clean and don't try to sync React Query cache with your Zustand store - that way lies madness.

Q

How do I handle state management in microfrontends?

A

Microfrontends complicate state sharing because each microfrontend should be independently deployable. Avoid shared state management libraries across microfrontend boundaries.

Patterns that work:

  • Event bus: Microfrontends communicate via custom events
  • URL state: Share state through query parameters
  • Browser storage: Use localStorage/sessionStorage for simple shared state
  • Parent-child props: Let the shell application coordinate between microfrontends

Each microfrontend should manage its own state internally and only share essential data through well-defined interfaces.

Essential State Management Resources

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