Most AI coding content assumes everyone writes web apps. Mobile is different. You're dealing with platform-specific APIs, strict review processes, and release cycles that don't forgive broken builds. Most AI coding advice isn't tailored for these mobile-specific considerations.
Our mobile team has spent the past year rethinking how they build across iOS, Android, and hybrid frameworks like React Native with AI agents. Not just autocomplete, but agents that generate native code, write and run tests, and do first-pass reviews on every PR.
This session is Ricardo and Rui sharing exactly how that works in practice.
How to structure your architecture decisions, conventions, and trade-offs so agents produce code that fits your codebase. Without this, every AI suggestion needs rewriting.
Why feeding the same requirements to multiple agents lets you ship native iOS and Android simultaneously. Plus: agents that generate UI tests and interact directly with the Simulator to verify them.
How to set up verification at every stage: automated first-pass code reviews, acceptance criteria checks across components, and feedback loops that catch what agents miss.
You build on iOS, Android, or cross-platform frameworks like React Native and want a structured way to use AI agents across your workflow, from code generation to testing and review.
You're responsible for team velocity and delivery, and you're evaluating how AI coding tools apply specifically to mobile.
Ricardo Pereira and Rui Magalhães build mobile products at Whitesmith. They've been integrating AI agents into their daily workflow since the tools became genuinely useful for native development.
You'll see the 4-layer system (Context, Build, Test, Review) that structures how the team works with AI across every stage. Each layer compounds on the one before it.
The team has built tools like ios-simulator-mcp that give agents direct access to the iOS Simulator. We'll show how these fit into the workflow and what you can reuse.
Cost, flaky agent assertions, and code that works but isn't how you'd write it. We'll cover the limitations alongside the wins so you know what to expect.
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