Training course · Vibe Coding · UX Design & Prototyping

Vibe Coding for UX Designers

Build software in natural language: from prompt to app, rapid iteration, quality and security checks, and turning prototypes into production.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Vibe Coding for UX Designers” is designed for roles such as UX and UI designers, Product designers and interaction designers and UX researchers who want to test variants quickly and shows step by step how to use Vibe Coding productively, safely and transparently in UX Design & Prototyping – from the fundamentals to advanced workflows.

Vibe coding is a new style of software development: you describe in natural language what an application should do, and AI tools generate the code for it. Instead of writing every line yourself, you steer through descriptions, examples and feedback, test the result and refine it in short loops. This dramatically speeds up prototypes, internal tools and experiments. This vendor-neutral course shows you how to use vibe coding productively with tools such as Claude Code, Cursor, Copilot or browser-based app builders.

Knowing the limits matters just as much as speed. Uncontrolled generated code can be unmaintainable, insecure or simply wrong. You will therefore learn to state requirements precisely, safeguard results with tests and reviews, spot typical security flaws and steer the architecture deliberately. Finally, you will map out a clear path from quick prototype to production-ready application, covering version control, deployment, documentation and a clean handover to the team that will run and maintain the solution over the long term.

AI coding tools are shifting the boundary between design and development: UX designers can now build interactive prototypes in real code instead of only drawing clickable mock-ups. A screenshot, a sketch or a short description quickly becomes a working interface with real states, form logic and sample data that feels like a finished product in usability testing. AI assistants also translate design tokens, component libraries and accessibility checks straight into code. In this course you learn how vibe coding and AI agents take you from idea to testable prototype faster, how to hand results over cleanly to engineering teams and where the line runs between a prototype and production-ready software.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • UX and UI designers
  • Product designers and interaction designers
  • UX researchers who want to test variants quickly
  • Product owners and product managers with design responsibility
  • Design system teams working closely with frontend engineering

Typical challenges we address

  • Static mock-ups barely capture interactions, states and real data
  • Hand-offs to engineering lose details, spacing and behavioural logic
  • Long waits for engineering capacity to run experiments and A/B variants
  • Accessibility is often considered late and incompletely

What you will be able to do

  • You build working applications in natural language with a suitable AI tool.
  • You phrase requirements and constraints so that generated results meet your expectations.
  • You iterate purposefully, fix errors efficiently and stay in control of the project state.
  • You safeguard generated code with tests, reviews and security checks.
  • Build interactive, code-based prototypes with AI and test ideas with users much earlier.
  • Translate design systems and tokens into code and improve hand-offs to engineering teams.
  • Review prototypes systematically for accessibility and understand the line between prototype and production code.

Course outline

Day 1

Module 1 Vibe coding fundamentals
  • What vibe coding is and how it differs from traditional and agentic development
  • The tool landscape: AI editors, coding agents and browser-based app builders
  • Good use cases: prototypes, internal tools, experiments, learning projects
  • Roles: you as product owner, the AI as the one doing the typing
Module 2 From prompt to app
  • Describing requirements as a short spec covering users, features and boundaries
  • Choosing the tech stack and project structure deliberately rather than leaving it to the AI
  • Generating user interfaces from descriptions, sketches and reference examples
  • Adding data, APIs and persistence step by step
Module 3 Iterating and fixing problems
  • Working in small, verifiable steps and committing regularly
  • Feeding error messages, logs and screenshots back to the AI
  • Recognising stuck sessions, rolling back and restarting with fresh context
  • Creating project rules and context files to avoid repeating yourself
Module 4 Securing quality and safety
  • Having the AI generate tests and critically assessing what they actually prove
  • Reviewing generated changes for readability, duplication and needless complexity
  • Spotting typical security flaws: secrets in code, missing validation, exposed endpoints
  • Assessing dependencies, licences and data protection in generated solutions

Day 2

Module 5 From prototype to production
  • Setting criteria for evolving a prototype versus rebuilding it
  • Refactoring, cleaning up architecture and documenting with AI support
  • Setting up version control, CI and deployment for generated applications
  • Planning operations, monitoring and handover to a team or IT
Module 6 Practice lab: UX Design & Prototyping
  • Clickable prototypes in code
  • Generating test variants
  • Turning design tokens into code
  • Checking accessibility
  • Designing microinteractions
  • Synthesising research
Module 7 Data protection, quality & transfer to daily work
  • Prototypes often contain unreleased product ideas and research data from participants: you learn to pseudonymise interview notes in line with the GDPR, clarify rights to fonts, images and generated assets and plan early for the European Accessibility Act.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Clickable prototypes in code

Turn sketches, wireframes or screenshots into working web prototypes with navigation, form validation, loading and error states and realistic sample data that can be tested directly in the browser.

Generating test variants

Produce several design variants of a flow in parallel, for example onboarding or checkout, and prepare them for usability tests or A/B experiments with minimal adjustments.

Turning design tokens into code

Structure colours, typography, spacing and radii from your design system as tokens and convert them into CSS variables, Tailwind configuration or theme files for component libraries.

Checking accessibility

Examine prototypes for contrast, semantic HTML, keyboard navigation, focus order and ARIA attributes and have concrete WCAG-based improvements applied directly in the code. Issues are fixed before reaching engineering.

Designing microinteractions

Describe transitions, animations and feedback states and implement them in CSS or JavaScript, so you can judge timing and effect early in the real medium rather than in a drawing tool.

Synthesising research

Cluster notes from interviews and usability tests, surface patterns and pain points and derive prioritised design hypotheses that feed straight into the next prototype iteration.

Possible hands-on projects

Onboarding prototype

A multi-step onboarding flow as a web app with a progress indicator, validation and saved inputs, ready for moderated usability testing.

Token converter

A small tool that reads exported design tokens and generates CSS variables, a colour palette with contrast ratios and a preview page.

Component playground

An overview page showing your design system’s buttons, forms and cards in every state, including light and dark mode. It doubles as a living reference.

Prerequisites

Basic programming knowledge and some Git experience are helpful; you should be able to read simple code and make sense of error messages. You have experience in UX or UI design and with common design tools; no programming skills are required, although a basic understanding of HTML and CSS helps.

Technical requirements

Your own laptop with an up-to-date browser, Git and an AI coding tool of your choice, such as an AI editor or coding agent with an active account.

Data protection & compliance

Prototypes often contain unreleased product ideas and research data from participants: you learn to pseudonymise interview notes in line with the GDPR, clarify rights to fonts, images and generated assets and plan early for the European Accessibility Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Mon, 7 December 2026 – Tue, 8 December 2026 Salzburg Request
  • Thu, 17 December 2026 – Fri, 18 December 2026 Online Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Online Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Bremen Request
  • Thu, 11 February 2027 – Fri, 12 February 2027 Online Request

Frequently asked questions

Is vibe coding only suitable for quick prototypes?

Vibe coding shines with prototypes, internal tools and experiments. With the right practices, namely clear specifications, tests, reviews and sound version control, results can also be turned into production-ready applications. The course teaches you to manage that transition deliberately and to recognise early on when rebuilding is the wiser option.

Which tools are used in the course?

The course is vendor-neutral. We work with the main tool categories: AI editors such as Cursor or Windsurf, coding agents such as Claude Code or Codex, and browser-based app builders. You are welcome to use your preferred tool, as the principles of specification, iteration, quality and security apply to all of them.

How should I deal with security risks in generated code?

Generated code often contains typical weaknesses such as hard-coded credentials, missing input validation or overly open interfaces. You learn to check specifically for these patterns, build security requirements into the specification from the start, use automated scanning and require a deliberate human sign-off before every deployment.

Do I need to know how to code as a designer?

No. You describe interfaces and behaviour in plain language, with sketches or screenshots, and the AI tool generates the code. It helps to understand basic terms such as component, state or CSS class so you can steer precisely. We cover these concepts hands-on in the course, so you can adapt and evolve prototypes on your own.

Can the engineering team reuse the prototype code?

Sometimes, but more often it serves as a precise specification. Prototypes are optimised for speed, not for security, performance or maintainability. If you use the same component library and tokens as the product from the outset, reuse becomes much more likely. In the course you work out how to design hand-offs that benefit both sides.

How much does “Vibe Coding for UX Designers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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