Next.js Turbopack Bundle Analyzer & Streaming Suspense Optimizer
Optimize Core Web Vitals (LCP, TTFB) using React Suspense streaming, dynamic imports, and modular package tree-shaking.
Compatibility & Specs
164 words • 1303 characters
Customize Prompt
Fill in the variables below. Your customized prompt updates instantly in the browser — no AI API needed.
First-load JS shared by all chunks and page sizes
LCP, TTFB, or interaction lag
Libraries loaded into client bundle
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 |
|---|---|---|---|---|
| [bundle_metrics] | Build & Bundle Metrics | textarea | Required | First-load JS shared by all chunks and page sizesDefault: First Load JS shared by all chunks: 195 kB. `/analytics` page bundle size is 480 kB (First Load JS 675 kB), triggering Next.js yellow warning. |
| [observed_regressions] | Observed Regressions | textarea | Required | LCP, TTFB, or interaction lagDefault: LCP is 3.6s on mobile 4G. TTFB is 1,200ms because the root page `await`s 4 sequential database queries before sending any initial HTML byte. |
| [heavy_dependencies] | Heavy Dependencies | text | Required | Libraries loaded into client bundleDefault: Recharts (340 kB), date-fns, and full Lucide icon library imported via root index. |
Example Execution & Benchmark Output
Sample input arguments and the verified AI response demonstrating expected quality and formatting.
Best Use Cases
Scenarios and roles where this prompt produces maximum leverage.
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- •Specify your exact runtime and dependency versions (e.g. Next.js 15, React 19, TypeScript 5.4) to eliminate outdated syntax hallucinations.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).
Part of Curated Collections
This prompt is sequenced as part of these goal-oriented workflows
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