Rockpack is a zero-configuration toolkit for building React applications — with full support for Server-Side Rendering (SSR), bundling, linting, and testing. In minutes, you can have a modern React app with production-ready quality gates, preconfigured tooling, and built-in support for AI-assisted development.

Key Features

  • Zero-config setup: Scaffold a complete React app with a single command.
  • SSR out of the box: Universal rendering with hydration and a Node.js server, no manual configuration needed.
  • Production-ready quality gates: Enforced ESLint, Prettier, TypeScript, and Jest conventions from day one.
  • Test coverage included: Every project template ships with a configured Jest setup, so AI-generated code is validated immediately — before it ever reaches code review.
  • AI-first development: Preconfigured CLAUDE.md with strict quality rules and cost-saving conventions makes working with AI tools like Claude Code fast, reliable, and economical.
  • Extensible: Customize Webpack, ESLint, or Jest without ejecting.

AI-Assisted Development

Rockpack is designed to make AI-assisted development safe, fast, and cost-efficient.

Beyond tooling, Rockpack establishes a baseline architecture — consistent project structure, naming conventions, and module boundaries — that AI models can reason about reliably. A well-structured codebase dramatically improves the quality of AI-generated code because the model has clear patterns to follow and fewer ambiguous decisions to make.

The combination of a defined architecture, test coverage, strict quality gates, and a well-tuned CLAUDE.md means AI tools like Claude Code can contribute to your codebase without introducing regressions or inconsistencies.

The CLAUDE.md configuration is optimized for:

  • Minimal context usage — rules guide the AI to read only what is relevant, reducing token consumption
  • Cost-efficient workflows — targeted test runs instead of full-suite scans for isolated changes
  • Architecture consistency — the AI preserves existing patterns instead of introducing unnecessary abstractions
  • Safe incremental changes — small, predictable diffs that are easy to review
  • Quality enforcement — ESLint, TypeScript strict mode, and Jest act as automated reviewers on every AI-generated change

Getting Started

The easiest way to start is using the @rockpack/starter CLI. It scaffolds a fully configured project in a single command and supports the following application types:

1. Installation:

npm i -g @rockpack/starter

2. Creating an app:

rockpack <project name>

3. Select the type of application and the required modules:

Rockpack CLI
License MIT, 2026