Training course · Windsurf · Mobile Apps
Windsurf for Mobile Developers
Develop with the Windsurf AI IDE and its Cascade agent: flows, memories, rules, workflows and safe use across the team.
- 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
“Windsurf for Mobile Developers” is a hands-on course for roles such as iOS developers using Swift and SwiftUI, Android developers using Kotlin and Jetpack Compose and Cross-platform developers using Flutter or React Native. Rather than learning Windsurf in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Mobile Apps.
Windsurf is an AI-powered development environment built around its agent, Cascade. Cascade understands the structure of your project, follows your actions in the editor and terminal, and works with you according to the flow principle: you and the agent take turns on the same task without having to re-explain context over and over. In this two-day course you will learn how to use Cascade effectively for features, debugging and refactoring, and how to make the most of intelligent completion in your daily development work.
To keep results consistent across a team, you steer Cascade with global and workspace rules, rely on memories for lasting project knowledge and automate recurring procedures with workflows that run from a slash command. You will connect external tools through MCP, control how terminal commands are executed and decide which data Cascade is allowed to see. Finally, you will define rules for code review, security and data protection so that Windsurf can be used responsibly within your organisation and its existing processes.
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 use Cascade productively in flow for features, debugging and refactoring.
- You steer Windsurf’s context precisely and keep sensitive content protected.
- You maintain memories and rules that reliably enforce your project conventions.
- You automate recurring procedures with workflows and connect external tools via MCP.
- 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
Day 1
Module 1 Getting to know Windsurf and Cascade
- Installation, importing existing editor settings and basic configuration
- Cascade in code and chat mode: when the agent edits and when it only advises
- The flow principle: how Cascade takes your editor and terminal actions into account
- Intelligent completion and inline commands in everyday development
Module 2 Steering context
- Understanding codebase indexing and referencing relevant files or directories
- Bringing documentation, web sources and terminal output into context
- Excluding sensitive content from context with ignore files
- Structuring sessions and starting afresh when the topic changes
Module 3 Memories and rules for consistent results
- Reviewing and maintaining auto-generated and manually created memories
- Creating and versioning global and workspace rules
- Expressing architecture, style and testing guidelines as effective rules
- Activating rules selectively by file pattern or occasion
Module 4 Workflows and automation
- Defining recurring procedures as workflows and launching them via slash command
- Building workflows for release preparation, testing or code maintenance
- Connecting MCP servers for issue trackers, databases or internal services
- Controlling terminal command execution with allow and deny lists
Day 2
Module 5 Quality, review and governance
- Tracing Cascade’s changes, accepting them partially or reverting them
- Using a test-driven approach and preview features for verification
- Team settings, data protection options and handling of secrets
- Defining review processes and accountability for AI-generated code
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
You program regularly in at least one language and are familiar with Git and a modern IDE. Hands-on app development experience with Swift, Kotlin, Dart or React Native, plus Xcode or Android Studio and Git.
Technical requirements
Your own laptop with the Windsurf editor, Git and your usual toolchain installed; a Windsurf account with access to Cascade is required.
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.
- Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
- Thu, 3 December 2026 – Fri, 4 December 2026 Munich Request
- Mon, 7 December 2026 – Tue, 8 December 2026 Online Request
- Wed, 16 December 2026 – Thu, 17 December 2026 Stuttgart Request
- Thu, 14 January 2027 – Fri, 15 January 2027 Hanover Request
- Thu, 21 January 2027 – Fri, 22 January 2027 Online Request
Frequently asked questions
What does Windsurf mean by flows?
Flows describe the close collaboration between you and Cascade. The agent observes what you do in the editor and terminal and takes those actions into account in its next steps. As a result you do not have to keep explaining where you are, and you can move smoothly between doing the work yourself and delegating it to the agent.
How do memories, rules and workflows differ?
Memories store knowledge that Cascade has gathered while working or that you have explicitly recorded. Rules are guidelines you write that shape the agent’s behaviour permanently. Workflows are reusable sequences of steps for recurring tasks, launched with a slash command. Together they keep results consistent across the whole team.
Can I use Windsurf with my existing projects and languages?
Yes. Windsurf is language-agnostic and works with your existing toolchain, including build tools, package managers and test frameworks. Whether you work on back end, front end, data processing or infrastructure code, what matters is giving Cascade good rules and clear context. Each course variant adds the specific focus for your field.
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 “Windsurf for Mobile Developers” 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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- Bolt for Mobile Developers
- Model Context Protocol (MCP) for Mobile Developers
- AI Agent Development for Mobile Developers
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