Vibe coding for designers
Practical paths and tools for designers building with AI.
1) From idea to prototype
Build one key flow first, then decide which real data, authentication and services it needs.
- Decide whether you need a design prototype or a runnable app.
- Compare tools on the same small task, including editability, code handoff and cost.
- Identify any mocked data or behavior in the demo.
Lovable
Useful for visual app iteration with GitHub code handoff; configure data and permissions before launch.
Bolt
Useful for browser-based JavaScript/Node.js apps or Expo prototypes; choose another route for Python/PHP backends.
Uizard
Sketch or describe an interface and get an editable UI with a lower barrier for non-technical designers.
v0
A starting point for Next.js projects or Vercel delivery; add interfaces, data and services incrementally.
Figma Make
Generate interactive prototypes directly inside Figma when you already have design context.
Figma Make Guide
Read setup instructions and known limitations before starting.
Lovable Docs
Start here for core workflow and common prompt patterns.
Prompt template
Paste into Lovable, Bolt, or Uizard to generate a clickable prototype quickly.
Prompt: "Build a [page type] for [target user]. The page should include: [key sections]. Key actions: [buttons/forms]. Must handle these states: loading, error, empty. Preserve the existing visual style and components: [reference]. Complete the core flow first and identify any mocked data."
2) From Figma to an interactive prototype
Start from an existing design and make the flow interactive enough to test and gather feedback.
- Preserve existing components and visual standards and inspect generated changes.
- Cover the main task, empty states and recovery.
Figma Make
Generate a live interactive prototype from Figma frames through conversation.
Uizard
Turn design screenshots into editable mockups; entire HTML/JavaScript project export is not supported.
Maze
Run remote usability tests on prototypes and aggregate completion, time-on-task, and drop-off.
Figma Make → Design
Official guide to preview-to-layer copying, code editing and publishing.
Figma Prototyping Guide
Set up connections, flows, and sharing before handing off to Figma Make or Maze.
Maze Prototype Testing
Use to set up test scripts and capture structured prototype feedback.
Prompt template
Use with Figma Make to generate a testable prototype with explicit state coverage.
Prompt: "Here is my Figma design for [feature]. Generate an interactive prototype that covers: (1) main happy path, (2) error state, (3) empty state. Make all buttons functional. Flag any design elements you could not implement."
3) AI-assisted development
Implement features incrementally in the existing project, using coding tools to edit, debug and explain code.
- Provide relevant designs, project conventions and expected behavior for a focused task.
- Review changes and exercise key actions in the running app.
- After publishing, recheck links, persistence and error handling.
Codex
Implement and check changes with project context across desktop, CLI, IDE or cloud.
Cursor
Modify and iterate on code through conversation, ideal for complex multi-file interactions.
GitHub Copilot
Completion, chat and agent workflows in existing projects; cloud tasks can prepare pull requests for review.
Replit
Develop and publish in the browser; republish changes and use a database or storage service for persistent data.
Codex learning resources
Official learning resources for desktop, CLI, IDE and cloud coding workflows.
Claude Code
Complex refactoring in CLI/project context when tasks span multiple files and full codebase understanding.
Gemini
Multimodal coding assistance when screenshots or design files must be reasoned with code.
Cursor Docs
Core workflows and prompt patterns for getting higher quality output from Cursor.
GitHub Copilot Docs
Team setup and common use-case references for Copilot workflows.
Prompt template
Use with Cursor or Claude Code to get plan, key code, and verification checklist in one pass.
Prompt: "I want to build [feature] using [tech stack]. Existing logic to preserve: [describe]. First give an implementation plan. Then generate key code. Finally list test cases and a regression checklist. Flag anything needing manual review for safety or readability."
4) Connect and automate
Connect repetitive work across tools, starting with a simple path before adding failure handling and retries.
- Identify the data each step needs and what it changes.
- Prevent duplicate writes and provide stop, retry or manual recovery paths.
n8n
Connect data and services visually, with self-hosting options; check license scope before offering hosted access to clients.
Zapier
Connect common SaaS tools for repetitive tasks with defined steps.
Make
Cross-SaaS visual automation, a practical middle ground between Zapier simplicity and n8n flexibility.
Dify
Build LLM apps, retrieval and agent flows visually; check license conditions for multi-tenant services and rebranding.
LangChain
Customize agent logic and tool-call orchestration in code for fine-grained control.
Replit
Quickly define and run agent task flows in a browser IDE.
Dify Docs
Guide for publishing agent and workflow applications.
Cynefin framework
Classify workflow complexity first, then choose deterministic automation or adaptive agent loops.
n8n Docs
Reference for node configuration, deployment, and monitoring.
Prompt template
Use with Claude or n8n AI node to define step scope, risks, and approval needs.
Prompt: "I want to automate this workflow: [trigger and goal]. Steps involved: [list]. For each step specify input, output, failure condition, and whether human approval is required. Output as a step-by-step plan with risk level per step."
Recommended combinations
Build a testable prototype
Choose one builder for the core task, then test it with target users.
Test a Figma design
Choose a click-through or runnable prototype for the question you need to test.
Build custom functionality
Implement and check features in the existing project without switching tools for every step.
Automate repetitive work
Start with explicit steps and introduce an agent only where adaptive decisions are needed.