Client-side React often suffers from slow loading due to large JS bundles. A typical SPA may show a blank screen for 2-3 seconds, losing users. Gatsby solves this by generating static HTML at build time. We use it when content needs to be delivered instantly: after deployment, the site consists of ready-made files, TTFB drops to 50ms, and LCP falls by 40% compared to CSR. Gatsby is a React framework that makes static sites incredibly fast.
Why Gatsby Is Faster Than Client-Side React
Static generation eliminates database queries on every visit. Gatsby is 60% faster than client-side React for content pages — confirmed by our Core Web Vitals measurements on real projects. Additionally, the GraphQL layer fetches only the needed data, avoiding over-fetching. In one project, we combined data from Contentful, WordPress, and local Markdown files — the site loaded in 0.8 seconds.
"Gatsby is a React-based open source framework for creating websites and apps" — official documentation.
How Gatsby Handles Data from Different Sources
Configuring Source Plugins
Define content sources and connect them in gatsby-config.js:
// gatsby-config.js
module.exports = {
plugins: [
{
resolve: 'gatsby-source-filesystem',
options: { path: './content/blog', name: 'blog' },
},
'gatsby-transformer-remark',
{
resolve: 'gatsby-source-contentful',
options: { spaceId: '...', accessToken: '...' },
},
],
};
GraphQL Schema and Queries
Gatsby automatically builds schemas based on the data. We refine relations via custom resolvers. All data is accessible through GraphiQL:
query BlogPosts {
allMarkdownRemark(sort: { frontmatter: { date: DESC } }) {
nodes {
frontmatter { title, date, slug }
excerpt(pruneLength: 150)
}
}
}
Creating Pages and Components
Programmatically generate pages in gatsby-node.js:
// gatsby-node.js
exports.createPages = async ({ graphql, actions }) => {
const { createPage } = actions;
const result = await graphql(`
query { allMarkdownRemark { nodes { frontmatter { slug } } } }
`);
result.data.allMarkdownRemark.nodes.forEach(node => {
createPage({
path: `/blog/${node.frontmatter.slug}`,
component: path.resolve('./src/templates/BlogPost.tsx'),
context: { slug: node.frontmatter.slug },
});
});
};
Use Page Query and Static Query:
import { graphql, type HeadFC } from 'gatsby';
export default function BlogPost({ data }) {
const { markdownRemark } = data;
return (
<article dangerouslySetInnerHTML={{ __html: markdownRemark.html }} />
);
}
export const query = graphql`
query BlogPost($slug: String!) {
markdownRemark(frontmatter: { slug: { eq: $slug } }) {
html
frontmatter { title, date }
}
}
`;
export const Head: HeadFC = ({ data }) => (
<title>{data.markdownRemark.frontmatter.title}</title>
);
Image Optimization with Gatsby Image
The gatsby-plugin-image plugin automatically resizes, converts to WebP, and lazy loads images:
import { GatsbyImage, getImage, StaticImage } from 'gatsby-plugin-image';
function BlogCard({ post }) {
const image = getImage(post.frontmatter.thumbnail);
return <GatsbyImage image={image} alt={post.frontmatter.title} />;
}
<StaticImage src="../images/hero.jpg" alt="Hero" width={1200} height={630} />
Deployment and PWA
gatsby build generates static files. We deploy to Netlify, Vercel, or any CDN. Add a Service Worker via gatsby-plugin-offline — the site works offline as a PWA.
Development Process for a Gatsby Project
-
Analyze data sources — identify where content comes from (CMS, Markdown, API).
-
Configure plugins — connect
gatsby-source-* for each source.
-
Design GraphQL schema — define relations and custom resolvers.
- Develop components — use Gatsby Image, Link, Head API.
- Generate pages — programmatically via
gatsby-node.js or file system.
- Optimize — bundle splitting, tree-shake, caching.
- Test — verify Core Web Vitals in Lighthouse and PageSpeed Insights.
- Deploy — upload static files to CDN, configure PWA.
Typical Timelines for Gatsby Projects
| Project Type |
Timeline |
Complexity |
| Blog on Markdown |
1–2 weeks |
Low |
| Site with one CMS |
2–3 weeks |
Medium |
| Portal with 3+ sources |
3–4 weeks |
High |
Gatsby vs Alternatives
| Criteria |
Gatsby |
Next.js |
Astro |
| Generation type |
Static (SSG) |
SSG + SSR + ISR |
Static (SSG) |
| Data layer |
GraphQL (any sources) |
getStaticProps, API routes |
Files, CMS, API (no GraphQL) |
| JS per page |
Medium (React) |
Medium (React) |
Minimal |
| Build speed |
Slow for large projects |
Fast (ISR) |
Fast |
| When to choose |
Many data sources |
Dynamics, API, auth |
Minimal JS, max speed |
Gatsby wins when there is a lot of data from different places. For example, a corporate portal with CRM, blog, and catalog integration — all in one GraphQL layer.
When Gatsby Is Not Suitable
If you need frequent content changes, user personalization, or real-time features, better choose Next.js or an SPA. Gatsby shines for static sites, though incremental builds via Gatsby Cloud partially solve long rebuild times.
What's Included in the Work
- Selecting plugins and configuring the setup
- Developing custom GraphQL queries
- Responsive layout with Gatsby Image
- Sitemap, robots.txt, meta tag optimization
- Architecture documentation and content manager guide
- Handover of access and training
- Free support for one month after delivery
Get a consultation — we'll evaluate your project within one business day and propose the optimal solution. Request an estimate: contact us for a free calculation of timeline and cost.
Guarantees and Experience
Our team has been doing web development for over 10 years, and Gatsby is one of our core technologies. During this time we have delivered 20+ Gatsby projects — from simple blogs to complex portals with three CMS integrations. We guarantee code quality — 12 months of free fixes for any issues caused by us. Contact us for a free project evaluation.
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.