Web Engineering

Performance targets are defined at the architecture stage — not measured after launch. We select rendering strategies, caching layers, and bundle optimization approaches against the product's Core Web Vitals targets before writing the first component. Every engagement includes a performance audit before delivery. The 0.8s LCP, sub-100ms INP, and 0.01 CLS figures on this page come from production deployments — not staging environment Lighthouse runs.

Yes. We audit the existing codebase first — identifying the highest-risk coupling points, the performance bottlenecks, and the framework debt. Migration is executed incrementally, extracting and modernizing modules without requiring the legacy system to go offline. We have migrated production codebases from Angular, jQuery, and monolithic architectures to modular, maintainable systems without downtime.

Security requirements are scoped at the architecture stage. RBAC, secure data boundaries, identity provider integration, and API security are designed into the system rather than added after the product is live. For enterprise products operating under SOC 2, GDPR, or HIPAA requirements, compliance controls are part of the architecture specification from the start.

Component-driven architecture with token-based theming keeps UI consistent as teams scale. We build the component library with contribution guidelines and design-to-code workflows so new components follow the same patterns without requiring a central team to review every addition. The design system is documented and versioned — changes propagate predictably across the product surface.

CMS selection is based on the editorial workflow, content model complexity, and internationalization requirements — not a default recommendation. We have production experience with Contentful and Strapi, and assess other platforms based on the specific publishing requirements of the engagement. The CMS integration is built with the rendering strategy in mind — structured data, schema markup, and server-side rendering are part of the content platform architecture, not additions applied afterward.

We start with event taxonomy design — defining the events that answer the product questions the team actually has, rather than tracking everything and hoping the data is useful. The tracking implementation is server-first where possible, reducing the event loss that client-side tracking produces. We have production experience with Mixpanel, Amplitude, PostHog, Hotjar, FullStory, Sentry, and Datadog — tool selection is based on the team's existing stack and the specific analytics requirements.

Scope determines the timeline. A greenfield web application with defined architecture typically delivers a production-ready foundation in six to twelve weeks. A legacy modernization engagement begins with a two to four week audit before the migration scope is confirmed. Performance-first architecture reviews and optimization engagements typically complete within three to six weeks. We scope each engagement during a discovery call before committing to a timeline.

A production-ready codebase with documented architecture decisions, component library documentation, performance audit results, and a handover session with your engineering team. Your team can extend the codebase independently. We do not build on proprietary patterns that require ongoing GeekyAnts involvement.