React Development
React gives you flexibility, which is exactly why React codebases decay. The value we add is not knowing React — it is the discipline that keeps a React application comprehensible after two years and four developers.
Flexible
No framework opinions imposed
Measured
Render cost profiled, not guessed
Reusable
Design systems as libraries
Rescue
We fix inherited React codebases
React is a library, not a framework, and that distinction explains both its popularity and most of its problems. It tells you how to render a component and takes no position on state management, data fetching, routing, folder structure or testing. Every team invents its own answers, and on a long-lived codebase those answers accumulate into something nobody fully understands.
So the skill that matters is not writing React — it is deciding once, early, how the application will handle state, where data fetching lives, how components are composed, and what the folder structure means, then holding to it. Most of the tangled React applications we are asked to rescue are tangled because those decisions were made incrementally by different people under deadline pressure.
We use React for interactive product interfaces, dashboards and component libraries. For public-facing pages that must rank we use it through Next.js so content is server-rendered, and for large enterprise applications we generally prefer Angular's imposed structure over React's freedom.
The React Problems We Inherit
Four patterns account for most of the performance and maintainability complaints we are called about.
Server data forced into global state
API responses stored in Redux with manual loading flags, caching and invalidation hand-rolled. Hundreds of lines of state management reimplementing what a data-fetching library does correctly.
Effects used to synchronise state
Chains of effects updating state that triggers other effects, producing render loops, stale values and behaviour that depends on timing. Almost always derivable state that did not need to be state.
Everything re-renders on every keystroke
State placed at the top of the tree, new object and function identities created each render, no memoisation where it matters. On a heavy form or grid the interface becomes noticeably laggy.
No component boundaries
Thousand-line components mixing data fetching, business rules and markup. Nothing is reusable, nothing is testable, and every change carries risk because nothing is isolated.
React Capabilities
Where React's flexibility is genuinely the right trade.
Interactive Dashboards
Data-dense operational interfaces with charts, filters, drill-through and live updates, built so a large dataset does not make the interface unresponsive.
Component Libraries & Design Systems
Versioned internal libraries with documented, accessible components, so several products share one visual language and a fix applies everywhere at once.
Complex Forms & Wizards
Multi-step flows with conditional logic, validation and draft persistence — built so a user never loses input to a refresh or a dropped connection.
Data Fetching & Caching
Server state handled by a proper data layer with caching, background refresh and optimistic updates, instead of being hand-rolled in a global store.
Real-Time Interfaces
WebSocket and streaming updates for live status, notifications and collaborative views, with update batching so a busy feed cannot overwhelm rendering.
Performance Optimisation
Profiling to find what actually re-renders, then targeted fixes — state moved closer to where it is used, memoisation applied where it pays, lists virtualised.
Large Data Tables
Virtualised grids with server-side paging, sorting, filtering and inline editing that stay responsive at row counts where naive implementations stop working.
Accessibility
Keyboard navigation, focus management, sensible ARIA and colour contrast built in — required in many markets and better for every user.
Legacy Migration & Rescue
Incremental migration from older React or jQuery front-ends, and structural rescue of codebases that have become slow or unmaintainable.
The Discipline React Does Not Impose On You
Separate server state from client state
The most consequential architectural mistake in React applications is treating data fetched from an API as if it were application state. Server data has properties client state does not: it can be stale, it needs caching and invalidation, it may be refetched, and several components may need the same data without each fetching it. Modelling that in a general-purpose store means reimplementing caching, deduplication and invalidation by hand — badly.
We use a dedicated data-fetching layer for server state and keep global client state for the small amount that genuinely qualifies: the current user, theme, a few UI preferences. In practice this eliminates the majority of what teams put in a global store, and the resulting application is dramatically easier to reason about because most components simply declare what data they need.
- Server state in a data layer: caching, refetch, invalidation handled
- Global client state kept small and genuinely global
- Local state kept local — lifted only when actually shared
- Derived values computed, not stored and synchronised
Performance is about what re-renders, not how fast it renders
React rendering is fast. The problem is almost never that a single render is slow — it is that far more of the tree re-renders than needs to, on every keystroke or every update. State placed too high, new object or function identities created on each render, and context providers holding frequently-changing values are the usual causes.
The fix begins with profiling rather than with memoisation. Once you know what is actually re-rendering, the answer is usually structural: move state closer to where it is used, split a context that mixes stable and volatile values, stabilise identities that are passed as props. Memoisation is applied where profiling shows it pays, not scattered defensively — memoising everything has its own cost and obscures the real problem.
- Profile first — find what re-renders before optimising
- State moved down the tree rather than memoised in place
- Contexts split so stable and volatile values do not travel together
- Long lists virtualised, not paginated as a workaround
Decide the conventions once, then hold them
Because React imposes nothing, a codebase's structure is entirely a team decision — and when that decision is never made explicitly, it gets made repeatedly and inconsistently by whoever is writing the next feature. Two years later there are three data-fetching patterns, two state approaches and four folder conventions, and onboarding takes weeks.
We set the conventions at the start and write them down: how data is fetched, where business logic lives, how components are composed, what the folder structure means, how things are tested. TypeScript in strict mode catches a whole class of drift automatically, and SonarQube quality gates in CI catch structural decay in review rather than a year later. None of this is exciting, and it is why a codebase is still workable when the original team has moved on.
- Conventions decided once, explicitly, and documented
- Strict TypeScript across the codebase
- SonarQube quality gates in CI catching decay early
- Component boundaries that keep logic testable in isolation
When we would not use React
React is not automatically the answer, and there are cases where it is clearly not:
- Content sites that must rank. Plain React renders client-side and ships an empty shell to crawlers. Use Next.js, or plain HTML if there is no real interactivity.
- Large enterprise applications with a changing team. React's freedom becomes a liability at that scale. Angular's imposed structure is worth more than flexibility.
- Genuinely simple pages. A contact form does not need a component framework. Adding one costs bundle size and build complexity for no benefit.
- Teams already productive in something else. A team fluent in Vue will ship better software in Vue than in React they are learning on your project.
What We Pair It With
Meta-framework
Backend
Styling
Data
Quality
Frequently Asked Questions
React for interactive product interfaces, dashboards and anything where you want flexibility over imposed structure — and, through Next.js, for public sites that must rank. Angular for large, long-lived enterprise applications with heavy forms and a team that will change over the years, because its opinionated structure keeps a big codebase consistent. The decision follows the application, not our preference.
Related Expertise
Next.js Development
React with server rendering — what we use for anything public-facing.
Angular Development
What we use instead for large enterprise applications.
React Native
The same model applied to mobile apps.
Python & Django
The API layer behind most of our React interfaces.
Dashboards & Analytics
Where React's interactivity earns its place.
Web Application Development
How full-stack product work is scoped and delivered.
Interface That Has To Stay Maintainable?
New product UI, a dashboard that has to stay fast with real data, or a React codebase that has become hard to change. Tell us which and we'll give you a straight assessment.
Serving startups, factories and enterprises across India, the US, UK, Australia & Europe.