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An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Next.js is a React framework that renders on the server as well as the client. That gives you HTML on first request — which search engines can index and browsers can paint before any JavaScript executes — while keeping React's component model for interactive parts.
The App Router made server components the default. Components run on the server and send markup rather than shipping their code to the browser. Only components marked as client components hydrate. Used well, this substantially reduces what users download.
If any part of your product needs to be found in search, server rendering is close to a requirement. Client-rendered applications can be indexed, but they compete poorly against pages that return complete HTML immediately.
The performance argument applies even behind a login. Time to first meaningful paint improves when the server sends content instead of a loading state and a bundle. On mid-range mobile hardware — where a large share of real traffic sits — that difference is very visible.
Our approach
We keep the client boundary as small as possible. The common failure is marking a large layout component as a client component because one button inside it needs interactivity, which pulls the entire subtree into the bundle. Pushing that boundary down to the interactive leaf is where most of the performance benefit comes from.
We choose caching per route deliberately. Next.js caching is powerful and easy to get wrong in both directions — stale data shown to users, or caching disabled everywhere so the server rebuilds identical pages endlessly. We decide freshness requirements per route and configure accordingly.
We enforce a performance budget in CI. Bundle size and Core Web Vitals are checked on every pull request, so a regression fails the build rather than being discovered in a Lighthouse report weeks later.
Capabilities
Route structure, layouts, streaming and server components arranged so the client bundle stays small.
Static, server-rendered and incremental regeneration chosen per route against real freshness needs.
Form handling and data mutation on the server with validation and revalidation handled properly.
Metadata, canonicals, structured data, sitemaps and OG images through the framework's own APIs.
Bundle analysis, image and font optimisation, and Core Web Vitals enforced in the pipeline.
Incremental moves from the Pages Router, running both while the transition proceeds.
Stack
Process
Mapping every route to a rendering and caching strategy before implementation.
Server-side data access with typed queries and caching decided per route.
Establishing the client boundary early, so interactivity does not creep upward into layouts.
Iterative delivery with performance budgets checked on every pull request.
Titles, canonicals, structured data and sitemaps implemented and validated against real crawls.
Production release with field data collected, since lab scores and real devices differ.
Use cases
Marketing sites, documentation and publications where organic search is a primary channel.
Catalogues needing both indexable product pages and fast interactive browsing.
A marketing surface and an authenticated product in one codebase with shared components.
Client-rendered applications where first load has become unacceptable on mobile.
Outcomes
FAQ
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