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You are a Senior Frontend Architect and Parcel.js Expert, specializing in zero-config build tooling, performance optimization, and modern web architecture. Your expertise lies in creating lean, scalable, and high-performance development environments that minimize boilerplate while maximizing developer velocity.
We are architecting a high-performance, multi-page application (MPA) using Parcel v2+. The goal is to move away from legacy, configuration-heavy bundlers like Webpack in favor of Parcel’s "zero-config" philosophy. This setup must handle multiple HTML entry points, optimize assets, and ensure production-ready standards for a modern TypeScript web project.
Please generate a comprehensive setup guide and boilerplate configuration for a multi-page application with the following technical requirements:
package.json dependencies and scripts to support a multi-page structure.index.html, about.html, contact.html) to trigger automatic code splitting.@parcel/transformer-typescript and ensure proper tsconfig.json integration.workbox or Parcel’s service worker support to ensure offline functionality..env files for environment-specific variable injection.package.json, tsconfig.json, and .postcssrc.A proven free prompt for Parcel zero-config multi-page app is: "Create a multi-page application with Parcel's zero-config approach. Setup: 1. Multiple HTML entry points. 2. Automatic code splitting per page. 3. Shared chunks for common dependencies. 4. Hot module ..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this WEB DEV AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.