Redux development company
We design Redux stores that stay understandable at scale, migrate hand-written reducers and connect() components to Redux Toolkit and hooks, and move server data into RTK Query so the store holds only state your app truly owns.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Redux state management that stays predictable
We work as a Redux development company on one specific layer of React applications: the shared state that many screens read and write at once. Redux is still a sound choice when you need a single, inspectable source of truth, strict control over how state changes, and Redux DevTools to replay exactly what happened before a bug. It is often overused, though: a large share of what older stores hold is cached server data that RTK Query or TanStack Query manages better, and small apps rarely need a global store at all. Krapton engineers write new code with Redux Toolkit, using createSlice, configureStore and Immer-backed reducers, normalize collections with createEntityAdapter, and keep derived data in memoized selectors built with createSelector. Side effects go into thunks or the listener middleware, with Redux-Saga reserved for genuinely complex workflows. Deliverables include typed slices, tests for reducers and selectors, integration tests that render components against a real store, and a written map of what lives where.
Redux development services
Redux Toolkit application builds
New React or React Native state layers built with configureStore, createSlice and typed hooks, structured by feature folders so each slice owns its actions, selectors and tests.
Legacy Redux modernization
Converting switch-statement reducers, action-type constants and connect() wrappers to Redux Toolkit slices and useSelector hooks, one feature at a time, with the old and new code coexisting in one store.
RTK Query data layers
API slices with tag-based cache invalidation, optimistic updates, polling and streaming updates, often generated from an OpenAPI schema, replacing hand-written fetch thunks and loading flags.
Saga and side-effect cleanup
Untangling Redux-Saga or redux-observable flows, keeping them where cancellation and orchestration justify the complexity and replacing simpler cases with thunks or the listener middleware.
Render performance fixes
Profiling with React DevTools to find components re-rendering on unrelated updates, then fixing selectors that return new references, splitting subscriptions and normalizing deeply nested state.
Next.js and SSR integration
Per-request stores for the Next.js App Router, provider placement in client components, hydration of server-fetched data, and rules that keep user-specific state from leaking between requests.
Why teams choose Krapton for Redux
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Less global state, not more
We audit what belongs in Redux at all. Form drafts and UI toggles often move to local state, server data to RTK Query, leaving a smaller store that is easier to reason about.
Typed from store to component
RootState and AppDispatch types, pre-typed hooks and typed thunks mean a renamed field or wrong payload fails at compile time instead of rendering undefined in production.
Honest library comparisons
If Zustand, Jotai or plain context would serve a smaller app better, you hear that before any code is written, along with the tradeoffs in tooling and team familiarity.
Debuggable by design
Actions are named as events, not setters, so Redux DevTools traces read like a log of what users did, which makes bug reports reproducible and time-travel debugging useful.
How a Redux project runs with Krapton
01
State inventory
We list every slice, middleware, saga and selector, then classify state as server cache, global client state or local UI state to decide what stays.
02
Store design
Slice boundaries, normalized entity shapes, cache tags and effect strategy are written up and agreed, including which legacy patterns are migrated first.
03
Feature-by-feature migration
Each feature moves to Redux Toolkit with reducer and selector tests plus React Testing Library checks, while untouched features keep working in the same store.
04
Measure and document
Render counts and interaction timings are compared before and after, and a state map explains where each kind of data lives for future developers.
The Redux stack we build with
Redux development: questions answered
What does a Redux development company do that a general React team does not?
It specializes in the state layer, which is where large React apps usually degrade first. A Redux development company audits store structure, removes server data that belongs in a cache, fixes selectors that trigger unnecessary renders, and migrates legacy reducers and sagas to Redux Toolkit without breaking features. A general React team can do this too, but often lacks the time to restructure state while also shipping product work.
Should we use Redux or Zustand for a new React app?
Choose Zustand for small to mid-sized apps with modest shared state, and Redux Toolkit when many teams or features touch the same data. Zustand has less ceremony and a tiny API. Redux Toolkit adds enforced conventions, a middleware pipeline and RTK Query, which help when a large codebase needs predictable structure across many contributors. If most of your state is server data, TanStack Query plus local state may be enough.
How do you migrate legacy Redux code to Redux Toolkit?
Gradually, inside the same store, so nothing has to be rewritten at once. configureStore replaces createStore first, keeping existing reducers working. Then each feature’s reducer, action constants and action creators are replaced by a createSlice, and connect() components move to useSelector and useDispatch as they are touched. Fetching thunks are evaluated for RTK Query. Tests around reducers and key screens confirm behavior is unchanged at each step.
Why is our Redux app slow, and how do you fix it?
Usually because components re-render on state changes they do not use. Common causes are selectors that return new arrays or objects on every call, components subscribing to large slices instead of specific fields, and denormalized data that forces whole lists to update. We profile with React DevTools, memoize selectors with createSelector, normalize entities, and split subscriptions so each component reads only what it renders.
What drives the cost of a Redux project?
It depends mostly on how much legacy state code exists and how tangled it is. Typical cost drivers for Redux work include the number of features still using hand-written reducers or sagas, missing tests around state transitions, how much server data can shift to RTK Query, whether TypeScript is being introduced at the same time, SSR requirements, and any React version upgrade that must happen first.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.