# Prompt-to-UI tools compared: v0, Lovable, Bolt, Figma Make, Magic Patterns

> Not a leaderboard: a decision guide by what you are shipping, where the output lives, and how much design control you need.

Blog post: <https://ui.incidental.site/blog/prompt-to-ui-tools-compared/>

All five tools turn words into interface, but they are built for different jobs. Comparing them on "which looks best" is unreliable because output depends mostly on your prompt. Compare them on what they produce and where it goes.

## By deliverable

- **Components for an existing React codebase:** v0 (shadcn/Tailwind output, CLI install).

- **A working full-stack prototype:** Lovable or Bolt (backend integrations, in-browser dev env for Bolt).

- **Prototypes next to your design files:** Figma Make; the Figma agent for edits on the canvas with team guidelines.

- **Product-team exploration across many directions:** Magic Patterns, now with the MagicOS canvas and an MCP server for coding agents.

## Questions that decide it

- Will engineers keep the code, or is this throwaway?

- Do you need to match an existing design system? (Check whether the tool can import components or guideline files.)

- Who iterates: a designer on a canvas, or a developer in a repo?

- Where does the design context live, and can every teammate's session read it?

## Our take

The 2026 trend across all five is the same: durable context (guideline files, design systems, MCP) beats clever prompting. Pick the tool whose context mechanism fits your team, and invest in that file. Pricing and limits change often, so check each vendor's current page rather than any comparison table, including ours.

## References
- [v0](https://v0.app/) — Vercel
- [Lovable docs](https://docs.lovable.dev/) — Lovable
- [Bolt.new](https://bolt.cello.so/ByQ3siiRkMz) — StackBlitz
- [Figma Make](https://www.figma.com/make/) — Figma
- [Magic Patterns](https://www.magicpatterns.com/) — Magic Patterns