App Router is different

The Next.js App Router (introduced in v13, stable in v14) uses React Server Components, a new caching model, and different data fetching patterns. AI models trained on older Next.js patterns often generate code that looks right but fails in subtle ways.

1. Using useState in Server Components

Server Components don't support hooks. AI sometimes puts useState in a component without marking it "use client". This fails with a cryptic error at runtime, not at compile time.

2. Forgetting to handle loading.tsx for slow data fetches

Without a loading.tsx, slow server-side data fetches cause the entire page to hang. Users see nothing while waiting. This is invisible in dev with fast databases but brutal in production.

3. Caching headers misconfiguration

App Router caches aggressively. AI-generated fetch calls often don't set the right cache options, leading to stale data that confuses users ("I just updated this, why does it still show the old value?").

4. Using cookies() or headers() outside of dynamic rendering

These APIs opt the page into dynamic rendering. If AI uses them incorrectly, your static pages become dynamic and slow.

5. Parallel Routes confusion

AI often generates incorrect parallel route folder structures. The result looks fine locally but 404s in production.

6. Missing error.tsx boundary

Without an error.tsx file, unhandled errors in a route segment crash the entire page instead of showing a graceful error state.

7. Server Action without revalidation

After a Server Action mutates data, the cache needs to be revalidated. AI often forgets revalidatePath() or revalidateTag(), leaving users with stale UI.

8. Middleware running on every route

AI-generated middleware often lacks a matcher config, so it runs on every request including static assets and API routes, causing unexpected behavior.

Catching these in production

Most of these errors throw exceptions that ProdFix captures with full context. Install ProdFix in your Next.js app to see exactly which routes are failing and why.

Stop flying blind in production.

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