Training course · Bolt · Mobile Apps

Bolt for Mobile 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 Mobile Apps. 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.

Mobile development spans several worlds: Swift and SwiftUI for iOS, Kotlin and Jetpack Compose for Android, and cross-platform approaches with Flutter or React Native. On top come store guidelines, device fragmentation, offline capability, push notifications and demanding release processes. AI coding assistants and agents relieve teams of precisely these tasks: they build screens from designs, migrate UIKit or XML layouts to declarative UI frameworks, write UI and unit tests, analyse crash reports and automate build pipelines with Fastlane. Because mobile projects depend heavily on platform conventions, the AI needs precise context on architecture, state management and target platforms. This course shows you how to build that context and verify results on real devices.

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?

  • iOS developers using Swift and SwiftUI
  • Android developers using Kotlin and Jetpack Compose
  • Cross-platform developers using Flutter or React Native
  • Mobile teams in agencies and product companies
  • Tech leads responsible for app architecture and releases

Typical challenges we address

  • Maintaining several platforms in parallel with different languages and UI paradigms
  • Migrating from UIKit or XML layouts to declarative UI frameworks
  • Hard-to-reproduce crashes and performance issues across a wide range of devices
  • Laborious build, signing and store release processes

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.
  • Use AI agents for screens, UI migrations and tests in native and cross-platform apps.
  • Diagnose crashes and performance issues faster and automate build and release processes with AI support.
  • Give the AI clear platform conventions and architecture rules and verify results on real devices.

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: Mobile Apps
  • Turning designs into screens
  • Declarative UI migration
  • Testing mobile apps
  • Analysing crash reports
  • Offline capability and data storage
  • Build and release automation
Module 7 Data protection, quality & transfer to daily work
  • Apps often handle sensitive device data such as location, contacts or health information, so generated code must request permissions sparingly and manage consent in line with GDPR. Signing keys, API keys and store credentials do not belong in prompts, and new SDKs and packages should be checked for licensing, tracking behaviour and supply-chain risk.
  • 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

Turning designs into screens

From screenshots or design specs, the assistant generates SwiftUI, Compose, Flutter or React Native screens that reuse your components, themes and navigation and respect dark mode and dynamic type.

Declarative UI migration

The agent moves UIKit view controllers or Android XML layouts to SwiftUI or Jetpack Compose step by step, wraps legacy parts via interop layers and protects behaviour with snapshot and UI tests.

Testing mobile apps

The AI writes unit tests for view models and repositories, UI tests with XCTest, Espresso or Flutter widget tests, and sets up mocks for networking and persistence.

Analysing crash reports

Symbolicated stack traces from crash reporting services are interpreted, likely causes such as threading or lifecycle issues narrowed down and fixes proposed alongside reproducing tests.

Offline capability and data storage

The assistant designs local persistence with Room, Core Data, SwiftData or SQLite, sync logic with conflict handling and robust networking layers with retries and caching.

Build and release automation

Fastlane lanes, Gradle configuration and CI workflows for builds, signing, beta distribution and store uploads are created or repaired, including versioning and release notes. Expiring certificates are flagged early.

Possible hands-on projects

Stocktake app with barcode scanner

A Flutter or React Native app that scans barcodes, records items offline and syncs them with a REST API once a connection is available.

SwiftUI habit tracker

An iOS app with SwiftUI, local persistence, widgets and local notifications, developed entirely with an AI agent. Habits and progress are displayed in clear charts.

Compose feedback form

An Android app built with Jetpack Compose that captures forms with photo attachments, caches them offline and submits them to a back end – with UI tests.

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 app development experience with Swift, Kotlin, Dart or React Native, plus Xcode or Android Studio 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

Apps often handle sensitive device data such as location, contacts or health information, so generated code must request permissions sparingly and manage consent in line with GDPR. Signing keys, API keys and store credentials do not belong in prompts, and new SDKs and packages should be checked for licensing, tracking behaviour and supply-chain risk.

Suggested dates

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

  • Wed, 25 November 2026 Online Request
  • Fri, 11 December 2026 Berlin Request
  • Thu, 17 December 2026 Online Request
  • Thu, 7 January 2027 Stuttgart Request
  • Mon, 11 January 2027 Online Request
  • Mon, 25 January 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.

Does the course cover iOS, Android and cross-platform equally?

Yes. Working with AI assistants follows the same principles on every platform: provide context, scope tasks and test the results. In the exercises you choose your focus – Swift, Kotlin, Flutter or React Native – and tackle typical tasks for your platform, so mixed teams benefit just as much as specialists.

Can AI work with Xcode and Android Studio?

Many AI assistants can be used inside Android Studio or alongside Xcode, and agents also work from the command line with xcodebuild, Gradle or the Flutter CLI. We show you how to drive builds, tests and simulators so that the agent can check its own results and fix errors iteratively.

How much does “Bolt for Mobile 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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