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Next.js App Router Performance & Cache Auditor

Audit Next.js routes for static pre-rendering, cache invalidation, and Core Web Vitals optimization.

#nextjs #turbopack #caching #core-web-vitals #app-router

Compatibility & Specs

Compatible AI Models

ClaudeChatGPTPerplexity

Last UpdatedMar 8, 2026

Customizable Variables3 parameters

Main Prompt Template3 Variables

100 words • 767 characters

You are a Next.js Infrastructure & Performance Specialist auditing an App Router deployment. Route Architecture: [route_architecture] Data Mutability Frequency: [data_mutability] Performance Goal: [performance_goal] Deliver a performance blueprint covering: 1. Static vs. Dynamic Decision: Provide the exact code for `generateStaticParams()` to ensure 100% build-time pre-rendering. 2. Caching Strategy: Define the interplay between the Next.js Data Cache, Full Route Cache, and Router Cache. 3. Core Web Vitals Optimization: Actionable instructions to reduce LCP < 1.0s and ensure Cumulative Layout Shift (CLS) = 0.00. 4. Asynchronous Request APIs (Next.js 15/16): Code sample demonstrating how to await `params` and `searchParams` cleanly without build warnings.

Tip:Variables marked in purple brackets can be tailored below.

Customize Prompt

Fill in the variables below. Your customized prompt updates instantly in the browser — no AI API needed.

Parameters (3)* Indicates required field

Route Architecture*[route_architecture]

The routes and dynamic segments in your Next.js app

Data Mutability Frequency*[data_mutability]

How often underlying data changes

Performance Goal*[performance_goal]

Target speed or core web vitals KPI

3 parameters active

Live Customized OutputLive Preview

121 words

You are a Next.js Infrastructure & Performance Specialist auditing an App Router deployment. Route Architecture: /prompts/[slug] displaying individual prompt templates and customized variables Data Mutability Frequency: Static at build time (SSG) Performance Goal: Sub-50ms TTFB via Edge CDN, zero client-side layout shifts (CLS 0.00) Deliver a performance blueprint covering: 1. Static vs. Dynamic Decision: Provide the exact code for `generateStaticParams()` to ensure 100% build-time pre-rendering. 2. Caching Strategy: Define the interplay between the Next.js Data Cache, Full Route Cache, and Router Cache. 3. Core Web Vitals Optimization: Actionable instructions to reduce LCP < 1.0s and ensure Cumulative Layout Shift (CLS) = 0.00. 4. Asynchronous Request APIs (Next.js 15/16): Code sample demonstrating how to await `params` and `searchParams` cleanly without build warnings.

Launch in:

ChatGPT Claude Gemini

How to Use This Prompt

Follow this 3-step workflow to extract high-signal responses from any compatible AI model.

1. Tailor the Parameters

Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.

2. Send to AI Model

Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.

3. Review and Iterate

Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.

Prompt Variables & Parameters

Reference breakdown of every dynamic variable embedded in this prompt template.

Placeholder	Parameter Name	Type	Status	Description & Guidance
[route_architecture]	Route Architecture	text	Required	The routes and dynamic segments in your Next.js appDefault: /prompts/[slug] displaying individual prompt templates and customized variables
[data_mutability]	Data Mutability Frequency	select	Required	How often underlying data changesDefault: Static at build time (SSG)
[performance_goal]	Performance Goal	text	Required	Target speed or core web vitals KPIDefault: Sub-50ms TTFB via Edge CDN, zero client-side layout shifts (CLS 0.00)

Example Execution & Benchmark Output

Sample input arguments and the verified AI response demonstrating expected quality and formatting.

Sample VariablesInputs

[route_architecture]

/prompts/[slug] displaying individual prompt templates

[data_mutability]

Static at build time (SSG)

[performance_goal]

Sub-50ms TTFB via Edge CDN, zero client-side layout shifts

Expected AI ResponseVerified Result

### 1. Static Generation Blueprint (`generateStaticParams`) In Next.js 15/16, ensure all prompt slugs are declared ahead of time so the page is 100% static: ```typescript import { getAllPrompts, getPromptBySlug } from '@/lib/data'; import { notFound } from 'next/navigation'; export async function generateStaticParams() { const prompts = getAllPrompts(); return prompts.map((p) => ({ slug: p.slug })); } export default async function PromptPage({ params }: { params: Promise<{ slug: string }> }) { const { slug } = await params; const prompt = getPromptBySlug(slug); if (!prompt) notFound(); return <PromptDetailView prompt={prompt} />; } ```

Best Use Cases

Scenarios and roles where this prompt produces maximum leverage.

Developers deploying static blogs, documentation, or SaaS directories on Vercel / Cloudflare

Fixing slow page transitions and hydration lags in Next.js

Auditing Next.js 15/16 async params deprecations

Tips for Best Results

Techniques to elevate response fidelity

•Specify your exact runtime and dependency versions (e.g. Next.js 15, React 19, TypeScript 5.4) to eliminate outdated syntax hallucinations.
•Ask the model to enumerate potential runtime failure modes, concurrency issues, or null boundary states before generating code.
•Request idiomatic, type-safe solutions with clear unit test skeletons rather than monolithic scripts.

Common Mistakes to Avoid

Frequent failure modes and anti-patterns

•Pasting large unformatted code dumps without indicating the specific function or error you want analyzed.
•Deploying AI-generated code directly to production without verifying memory safety, edge cases, and security vulnerabilities.
•Omitting architectural constraints (such as SSR vs. client component boundaries or database indexing).