When a Vue SPA grows, the application state becomes dozens of interdependent variables. Mutations are scattered across components, and tracking who changed what is impossible without a log. For example, in a project with 50 components and 200 state variables, any change can trigger a cascade of bugs. We configure Vuex — the standard state management for Vue — to enforce a strict unidirectional data flow, making every mutation traceable. It works for both Vue 2 and Vue 3 (version 4). While alternatives like Pinia exist, Vuex remains the de facto standard for Vue 2 and legacy codebases. Setting it up involves several steps, and you get a predictable state with a full change history. Full typing and modular architecture are key to scaling.
Problems We Solve
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Broken unidirectional flow. Direct state mutations from components are a common mistake leading to unpredictable behavior. Vuex logs every mutation, and with DevTools you can instantly find the source.
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Lack of modularity. All state in a single file (over 1000 lines) is hard to maintain. We split into modules by business domain (cart, auth, ui), each with its own context.
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Debugging without DevTools. Without a timeline of mutations, it's impossible to understand what caused a bug. Vue DevTools show mutation history and state at any point, reducing error search time by 2–3 times.
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Missing TypeScript. JavaScript-only stores are prone to typos in getter and action names. We implement a typed store wrapper, giving autocompletion and eliminating up to 60% of runtime errors. The setup cost pays off through reduced debugging time.
How We Do It
We use Vuex 4 for Vue 3 or vuex@3 for Vue 2. Stack: TypeScript, modules with namespaced: true, vuex-persistedstate for token and theme persistence, Jest for testing. Each module is a typed class with state interface, getters, mutations, and actions.
Vuex vs Pinia (for context)
| Criteria |
Vuex |
Pinia |
| Typing |
Wrapper required |
Built-in |
| DevTools |
Full support |
Full support |
| Mutations |
Required |
Not needed |
| Compatibility |
Vue 2 and Vue 3 |
Vue 3 only |
| Size |
~10 KB |
~2 KB |
Vuex remains relevant for large Vue 2 projects and migrations. According to our experience, it reduces debugging time by 2–3 times thanks to strict rules and DevTools. Support budget savings can reach 40%.
What You Get After Setup
| Component |
Result |
| Store architecture |
Modular structure with 3–7 clearly separated modules |
| Typing |
Full TypeScript with IDE autocompletion |
| Persisted state |
Token and theme saved to localStorage |
| Tests |
Key modules covered with Jest unit tests |
| Documentation |
README with module descriptions and usage examples |
How to Structure Vuex Modules Properly
Each module is an isolated context. Example cart module:
// store/modules/cart.ts
import type { Module } from 'vuex'
import type { RootState } from '../types'
interface CartState {
items: CartItem[]
loading: boolean
}
export const cart: Module<CartState, RootState> = {
namespaced: true,
state: () => ({
items: [],
loading: false,
}),
getters: {
total: (state) =>
state.items.reduce((sum, i) => sum + i.price * i.quantity, 0),
},
mutations: {
ADD_ITEM(state, product: Product) {
const existing = state.items.find(i => i.id === product.id)
if (existing) {
existing.quantity++
} else {
state.items.push({ ...product, quantity: 1 })
}
},
CLEAR_CART(state) {
state.items = []
},
},
actions: {
async checkout({ commit, state }) {
commit('SET_LOADING', true)
await api.post('/orders', { items: state.items })
commit('CLEAR_CART')
commit('SET_LOADING', false)
},
},
}
Why Use a Typed Store Wrapper?
For full typing, we create a useStore wrapper:
// store/typed-store.ts
import { useStore as baseUseStore, Store } from 'vuex'
import type { InjectionKey } from 'vue'
import type { RootState } from './types'
export const key: InjectionKey<Store<RootState>> = Symbol()
export function useStore(): Store<RootState> {
return baseUseStore(key)
}
Register it in main.ts and use in components:
import { useStore } from '@/store/typed-store'
const store = useStore() // fully typed
With a typed store wrapper, autocompletion works in every component, and type errors are caught at compile time.
How to Test Vuex Modules?
We verify key scenarios: adding products, increasing quantity, checking out.
import { createStore } from 'vuex'
import { cart } from '@/store/modules/cart'
test('adding a product increments the count', () => {
const store = createStore({ modules: { cart } })
store.dispatch('cart/addItem', { id: '1', price: 100 })
expect(store.getters['cart/count']).toBe(1)
})
This approach ensures store changes don't break business logic.
Real-world case
On one project (an e-commerce site on Vue 2), the cart state was scattered across 12 components. After implementing a cart module with persisted state, debugging time dropped by a factor of 3, and the codebase shrank by 15%.
Work Process
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Analysis — review current code, identify pain points.
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Design — define modules, types, interfaces.
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Implementation — write store, types, persisted state.
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Integration — connect to components, replace local state.
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Testing — unit tests for key modules and integration.
-
Deployment — verify in production, fix bugs.
Timeline: typically 2–5 days depending on legacy code volume. Cost is calculated individually. We’ve been doing Vue development for over 5 years and have completed 30+ Vuex projects, so we know all the pitfalls. Get a consultation on setting up Vuex for your project — we'll evaluate your code and propose the optimal architecture. Order a turnkey setup — we guarantee a transparent change history and easy maintenance.
Common Mistakes in Vuex Setup
- Not setting
namespaced: true — modules will conflict.
- Not typing mutations — use constants or TypeScript enums.
- Storing computed data in state — use getters instead.
- Calling mutations directly from components — always go through actions.
These simple rules eliminate up to 70% of bugs from the start.
Frontend Development with React: From Audit to Production
Bundle grew to 3.1 MB gzip — that's a real figure from a project that came to us for an audit. The cause: moment.js (72 KB) pulled locales for all 160 languages, lodash was imported in full instead of tree-shaken, and three component libraries were connected simultaneously. TTFB was excellent, but TTI on mobile was 14 seconds. Users left, conversion dropped by 40%. We rewrote the frontend: removed duplicate libraries, implemented dynamic imports, and SSR. Result: bundle reduced to 850 KB gzip, TTI to 2.1 seconds, LCP to 1.8 s.
Frontend is not about "drawing prettily". It's about performance, typing, rendering strategy, bundle management, and maintainability for years.
Why is Next.js the Standard Choice for SEO?
React is our primary UI framework for complex interfaces. Next.js is the standard choice for projects with SEO requirements or SSR. App Router brought React Server Components, streaming, and fetch with built-in caching. Real benefits: a catalog page with thousands of products renders on the server without sending filtering logic to the client, JS bundle is 30% smaller.
But App Router is a different way of thinking. "use client" must be placed consciously. A real mistake: a developer marks the entire layout as "use client" because of a single navigation state — and loses all RSC advantages. Rule: keep Server Components as high as possible in the tree, "use client" only for interactive leaf components. ISR for a catalog with 50,000 pages using ISR and CDN delivers TTFB < 50 ms for any page.
How Does TypeScript Prevent Bugs in Production?
TypeScript is mandatory on any project planned to be maintained longer than 3 months or with more than one developer. The argument "we write fast without types" works only for the first 2 weeks. After that, bugs related to undefined values appear every week.
Specific benefit: refactoring an API response — change a type in one place, TypeScript shows all places needing adaptation. Without types, a production bug appears in a week. strict: true in tsconfig.json is mandatory. noImplicitAny, strictNullChecks, strictFunctionTypes. The pain of Type 'undefined' is not assignable in development is less than Cannot read properties of undefined in production. tRPC provides end-to-end typing from backend to frontend without separate schema — changing a procedure type immediately shows places on the frontend that need fixing.
Vue 3 + Nuxt 3 — An Alternative SSR Stack
Vue 3 with Composition API offers a different development style, closer to React Hooks. <script setup> and composables make code more reusable. Nuxt 3 is a framework for Vue with SSR/SSG, similar to Next.js. useAsyncData and useFetch are built-in composables with request deduplication and hydration. Auto-imports are convenient but can confuse during debugging. Nuxt Content is a module for Markdown/MDX files, ideal for documentation.
Hydration mismatch is a specific pain of SSR in Vue and React. Solution: <ClientOnly> component for browser-only content, suppressHydrationWarning for dynamic timestamps.
Performance: Metrics and Tools
Bundle analysis is the starting point. @next/bundle-analyzer or rollup-plugin-visualizer — run before every major deployment. Goal: no page should require > 200 KB JS gzip for first paint.
Dynamic imports for heavy components:
const RichEditor = dynamic(() => import('@/components/RichEditor'), {
ssr: false,
loading: () => <EditorSkeleton />,
});
Editor (Tiptap, Quill, CodeMirror) are typical candidates for dynamic import. Without this, they end up in the main bundle. React DevTools Profiler for finding unnecessary re-renders. React.memo, useMemo, useCallback are targeted tools. Premature memoization of everything adds overhead without benefit. Profile first, optimize later.
Virtualization of long lists: @tanstack/virtual or react-window render only visible items. Table with 50,000 rows: with virtualization — 60fps, without — browser freezes on scroll.
State Management: Without Overengineering
For most applications, it's enough to have:
-
React Query / TanStack Query — for server state (API data, caching, invalidation)
-
Zustand — for global client state (lightweight, no Redux boilerplate)
-
React Hook Form — for forms
Redux Toolkit is justified for very complex global state with many interactions. For most tasks, it's overkill. Recoil, Jotai — atomic approaches for independent pieces of state.
How to Choose the Right CSS and Design System?
Tailwind CSS latest version is our standard choice for new projects. Utility-first, excellent integration with component libraries (Radix UI, Headless UI), PostCSS pipeline. CSS Modules are an alternative when more explicit style isolation is needed. Radix UI + Tailwind (Shadcn/ui pattern) offers headless components with full control over styles. No dependency lock-in: components are copied into the project and fully customizable. Storybook is used for documenting the component library.
React DevTools Profiler — the official tool from the React team.
Testing
| Level |
Tool |
What We Test |
| Unit |
Vitest |
Utilities, hooks, pure functions |
| Component |
Testing Library |
Render, interactions |
| E2E |
Playwright |
Critical user flows |
| Visual |
Chromatic (Storybook) |
UI regression |
E2E tests via Playwright — for checkout, authentication, critical forms. Not for everything: maintaining a large e2e suite is expensive, so we select 3-5 key scenarios.
What's Included in the Scope (Deliverables)
Every frontend project we deliver includes:
-
Source code in Git with full commit history and branching strategy
-
Architecture document — component tree, data flow, routing decisions
-
Component documentation – Storybook with stories for all reusable components
-
CI/CD pipeline – automated builds, linting, tests, deployment config (Vercel / Netlify / custom)
-
Access to staging environment during development and after launch
-
Team training – 2‑3 live walkthrough sessions with your developers
-
3‑month warranty on any bugs found in production
-
Performance report – LCP, TTI, TTFB, bundle size before/after
We also provide a pre‑deployment checklist covering browser testing, security headers, cookie compliance, and accessibility audit.
Estimates and Scope
| Task |
Timeline |
| SPA (dashboard, CRM interface) |
8–16 weeks |
| Next.js site with SSR/ISR |
6–14 weeks |
| Frontend for existing API |
4–10 weeks |
| Component library (design system) |
6–12 weeks |
Cost is calculated after decomposition into components, screens, and API integration. We use N+1 estimation: add 20% for risks.
What Does a Typical Performance Audit Reveal?
A recent e‑commerce project had LCP of 4.2 seconds and a monthly cloud bill of $3,000. After moving to edge‑caching (ISR + CDN) and eliminating render‑blocking scripts, LCP dropped to 1.1 seconds, and the bill fell to $1,800. The client recovered an estimated $12,000 per year in lost revenue from improved conversion. That's the kind of before‑after we regularly deliver.
Comparing tools: Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. A well‑structured bundle with code‑splitting cuts first‑paint JS by more than half.
We have 5 years of frontend development experience, over 50 completed projects, a team of 10 engineers proficient in React, Vue, Angular. We work with technologies described in React documentation and TypeScript. Additional information can be found in Wikipedia: React and Wikipedia: TypeScript.
What Stack to Choose for Frontend Development with React?
We compare tools by real metrics. Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. Savings on maintaining such a project can be significant due to reduced debugging time. If you need a lightweight SPA with minimal cost, React + Vite is enough. For a content site with SEO, Next.js with ISR gives TTFB below 50 ms even with 50,000 pages.
Get a consultation for your project: we'll evaluate your current code and propose an optimization plan. Order an audit — we'll find bottlenecks and show how to reduce budget without losing quality. Contact us to start the discussion.