Training course · Bolt · React & Front End

Bolt for React and Front-End Developers

Full-stack prototypes right in the browser: generate web apps from prompts with Bolt, run them in WebContainers and deploy them.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Bolt with the everyday processes of React & Front End. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Bolt by StackBlitz generates working full-stack applications from prompts and runs them straight away in the browser. WebContainers make this possible: a Node.js runtime runs entirely inside the browser tab, complete with package installation, dev server and terminal. In this one-day course you learn how to build prototypes quickly with React, Vue, Svelte, Next.js, Astro or Node.js backends, how to structure prompts and project instructions, and how to steer the agent precisely rather than letting it rewrite large parts of your app unchecked.

The course combines fast results with sound engineering practice. You read and edit the generated code in the built-in editor, fix errors using the terminal and console, connect databases and authentication, and export projects to GitHub or as an archive. You then publish your application and learn how to keep token consumption, context size and project scope under control. By the end you know exactly which projects Bolt gets to a clickable result fastest, and at what point moving to a local development environment makes sense.

Front-end development today means component architectures, state management, server components, design systems, accessibility and performance budgets – often all at once. AI coding assistants and agents speed up exactly the work that eats time: deriving components from designs, converting class components to hooks, writing Storybook stories and Testing Library tests, fixing ARIA issues or tracking down unnecessary re-renders. Because front-end code thrives on conventions, context is everything: design tokens, folder structure, styling approach and preferred libraries must be known to the assistant. This course shows you how to set those guardrails and how to verify results reliably, both visually and technically.

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?

  • React developers in product teams and agencies
  • Front-end engineers working with Next.js, Vite or similar frameworks
  • Maintainers of design systems and component libraries
  • Full-stack developers with a front-end focus
  • UI engineers responsible for accessibility and performance

Typical challenges we address

  • Inconsistent components and styles despite an existing design system
  • Hard-to-trace re-renders, bloated bundles and weak Core Web Vitals
  • Accessibility gaps and growing pressure from legal requirements
  • Legacy code with class components, outdated patterns and missing tests

What you will be able to do

  • You can explain how WebContainers work and judge which projects run well in Bolt.
  • You generate a full-stack prototype with frontend, backend and database using structured prompts.
  • You debug issues efficiently via terminal, console and precise feedback to the agent.
  • You publish your application and export the code to GitHub for further development.
  • Have AI agents generate components, stories and tests that match your design system.
  • Use AI deliberately to improve accessibility, performance and legacy code in a systematic way.
  • Check generated front-end code visually, functionally and for maintainability before it ships.

Course outline

Module 1 Understanding Bolt and WebContainers
  • Architecture: Node.js, npm and dev server running entirely in the browser
  • Supported frameworks and starter templates at a glance
  • Capabilities and limits of the browser runtime, for instance with native binary packages
  • Using editor, preview, terminal and file tree efficiently
Module 2 Prompting and project control
  • Writing a precise first prompt: stack, pages, data model, style
  • Project and system instructions for recurring conventions
  • Discussion mode for planning, build mode for implementing
  • Iterating in small steps, locking files and rolling back versions
Module 3 Full stack: data, auth and APIs
  • Database and authentication via the built-in backend integration or Supabase
  • Building API routes and server-side logic with Node.js
  • Connecting external APIs and managing keys through environment variables
  • Creating mobile prototypes with Expo and testing them on a device
Module 4 Debugging and code quality
  • Feeding terminal and browser console errors back to the agent effectively
  • Reading, understanding and manually correcting generated code
  • Keeping structure, component boundaries and TypeScript types clean
  • Managing token usage and context size as projects grow
Module 5 Deployment and handover
  • Publishing your app in one click and connecting a custom domain
  • Exporting to GitHub and continuing locally in VS Code, Cursor or Claude Code
  • Security review: secrets, access rights, input validation
  • Decision criteria: evolve the prototype or rebuild it properly
Module 6 Practice lab: React & Front End
  • Building components from designs
  • Testing Library tests
  • Auditing and improving accessibility
  • Modernising legacy code
  • Optimising performance
  • Forms and data fetching
Module 7 Data protection, quality & transfer to daily work
  • Under the European Accessibility Act and its national implementations, many digital services must be accessible, so generated UI code needs proper checks. Also watch the licences of reused components and icons, keep secrets out of the client bundle and make sure tracking and consent logic complies with GDPR and ePrivacy rules.
  • 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

Building components from designs

From screenshots, design specs or Figma exports, the assistant produces typed React components that use your existing design tokens and libraries, and adds Storybook stories covering every state.

Testing Library tests

The AI writes user-centred component tests with React Testing Library and Vitest or Jest, simulates interactions, mocks API calls and covers loading, error and empty states.

Auditing and improving accessibility

The agent reviews components for semantic HTML, ARIA attributes, focus management and contrast, interprets axe results and fixes findings transparently against WCAG success criteria. Keyboard and screen reader behaviour is covered too.

Modernising legacy code

Class components are converted to function components with hooks, prop drilling is replaced by context or a proper state management approach and PropTypes give way to TypeScript types – with tests as a safety net.

Optimising performance

The AI pinpoints unnecessary re-renders, proposes memoisation, code splitting and lazy loading, analyses bundle reports and explains how each measure affects metrics such as LCP and INP.

Forms and data fetching

Complex forms with validation schemas, error messages and optimistic updates are generated alongside data-fetching logic with caching, retries and clean handling of loading and error states.

Possible hands-on projects

Interactive KPI dashboard

A React dashboard with charts, filters and a responsive layout that loads data from a REST API, built entirely by an AI agent from a short specification.

Component library with Storybook

A small, accessible component library with buttons, dialogs and form fields, including design tokens, Storybook documentation and automated tests. It forms the basis for consistent interfaces across several projects.

Accessibility checker for pull requests

A script that runs axe against Storybook stories automatically and turns the findings into a clear report attached to pull requests.

Prerequisites

Basic JavaScript or TypeScript skills and an understanding of common web concepts such as components, APIs and databases. Technically minded business users can follow along well too. Hands-on experience with React and modern JavaScript or TypeScript, plus a working knowledge of CSS, npm and Git.

Technical requirements

A laptop with an up-to-date Chromium-based browser or Firefox, a Bolt account (a paid plan for intensive use) and a free GitHub account.

Data protection & compliance

Under the European Accessibility Act and its national implementations, many digital services must be accessible, so generated UI code needs proper checks. Also watch the licences of reused components and icons, keep secrets out of the client bundle and make sure tracking and consent logic complies with GDPR and ePrivacy rules.

Suggested dates

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

  • Thu, 26 November 2026 Online Request
  • Tue, 8 December 2026 Berlin Request
  • Fri, 18 December 2026 Online Request
  • Mon, 11 January 2027 Stuttgart Request
  • Tue, 19 January 2027 Online Request
  • Mon, 1 February 2027 Hanover Request

Frequently asked questions

Do I need a local development environment for Bolt?

No. Thanks to WebContainers, package installation, dev server and terminal all run in the browser, so nothing needs to be installed locally. Only when you want to develop a project long term or integrate it into an existing toolchain does exporting to GitHub and working in a local editor pay off. We practise both in the course.

How is Bolt different from Lovable?

Both generate web apps from prompts. Bolt offers more freedom in choosing a framework and exposes code, terminal and file tree very directly, which suits developers who want to stay close to the code. Lovable relies on a fixed React stack with a stronger focus on design iteration and Supabase. The right choice depends on project and team.

Can I build mobile apps with Bolt?

Yes. Through the Expo integration you can generate React Native prototypes and test them on your phone with Expo Go. This works well for simple apps and clickable prototypes. Native device features, app store publishing and complex offline logic usually call for local development, and the course explains where that boundary lies.

Can AI implement designs pixel-perfectly?

AI assistants now translate layouts from screenshots or specs remarkably well, especially when they know your design tokens and components. Pixel-perfect results still come from iteration, though. On the course you learn to feed back visual deviations precisely and to use Storybook and visual tests as your control mechanism.

Does the framework I use matter?

The course centres on React, but the working methods transfer to Next.js, Remix or Vite-based setups. We show how to capture framework-specific rules such as server and client components or routing conventions in instruction files, so the assistant produces code that fits your stack.

How much does “Bolt for React and Front-End Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 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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