Guides a product from an idea to a codebase in steps covering product vision, data shape, design tokens, UI design and implementation handoff. Provides commands for Claude Code users.
Clone the repository
$ git clone https://github.com/buildermethods/design-os
Design OS is a product planning and design tool that helps you define your product vision, sketch out your data shape, design your UI, and export production-ready components for implementation. Rather than jumping straight into code, you work through a guided process that captures what you're building and why—then hands off everything your coding agent needs to build it right.
AI coding tools are incredible at building fast. But the results often miss the mark. You describe what you want, the agent builds something, but it's not what you envisioned. The UI looks generic. Features get half-implemented. You spend as much time fixing and redirecting as you would have spent building.
The core issue: we're asking coding agents to figure out what to build and build it simultaneously. Design decisions get made on the fly, buried in code, impossible to adjust without starting over. There's no spec. No shared understanding. No source of truth for what "done" looks like.
Design OS powers a guided design and architecture process. You + AI, working together through structured steps:
Each step is a conversation. The AI asks questions, you provide direction, and together you shape a product that matches your vision—before any implementation begins.
Docs, installation, usage, & best practices 👉 It's all here
For official support, training, and community as you use Design OS—for yourself or with your team, consider joining Builder Methods Pro. You'll get access to Brian Casel (the creator) for questions, a community of builders using Design OS, plus all Builder Methods workshops and training on AI-first development.
Read the changelog
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Created by Brian Casel, the creator of Builder Methods, where Brian helps professional software developers and teams build with AI.
Get Brian's free resources on building with AI:
Stars on GitHub
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@cathrynlaveryInstall it with the command on its page. Free and open source.
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