Frontend Development
Our Frontend Philosophy
Performance First
A frontend that looks great but loads in 8 seconds is a failed product. We obsess over Core Web Vitals, bundle sizes, image optimisation and code splitting. Our frontends score well on Lighthouse — not because we tuned for the test, but because we build with performance in mind from the first line.
Accessible By Default
We build frontends that work for all users — semantic HTML, keyboard navigation, screen reader compatibility and WCAG 2.1 AA compliance. Accessibility isn't a feature request, it's a baseline.
Mobile First, Always
More than half of web traffic is mobile. We design and build for mobile screens first, then scale up to larger viewports — not the other way around. Your product works beautifully on a 375px iPhone and a 27-inch monitor.
Component-Driven Architecture
We build reusable component libraries using design system principles. Every component is documented, tested and built to be composed — making future feature development faster and more consistent.
Technologies We Master
Engineered for performance & reliability
Core Frameworks
- React.js (Hooks, Context)
- Next.js (SSR & SSG)
Language
- TypeScript for Type Safety
Styling & UI
- Tailwind CSS (Utility-First)
Documentation
- Storybook
Testing
- Vitest
- Playwright
Build Tools
- Webpack
- Vite
Frequently Asked Questions
Clear answers to common questions about our frontend development process.
Do you build in React only or can you work with other frameworks?
Our primary expertise is React and Next.js, but we also work with Angular and Vue. If you have an existing codebase in a different framework, we can work within it.
Can you take designs from Figma and build them pixel-perfect?
Yes — this is a core part of what we do. We work directly from Figma files and build frontends that match the design intent while also being responsive, accessible and performant.
How do you handle frontend performance for complex applications?
We use code splitting, lazy loading, memoisation, virtualised lists for large datasets, and service workers for offline capability where needed. Performance profiling is part of our QA process, not an afterthought.