Keeping track of rolls, settings, and all that precious metadata for film photography is a mess. We created Analog to solve those problems. Our team began with Don in Singapore, Josh in Australia, and me, Diego, in the U.S. We’re excited to share how we launched Analog, took it through Apple’s Entrepreneur Camp, and break down the tech behind it—plus what’s next for NOSSAFLEX, from developing for Android to building our new desktop application, Index.

Covering the new Native Audio Input Picker and Spatial Audio Capture functionality

We have built AI-driven tools to automate the assessment of key heart parameters from point-of-care ultrasound, including Right Atrial Pressure (RAP) and Ejection Fraction (EF). In collaboration with UCSF, we trained deep learning models on a proprietary dataset of over 15,000 labeled ultrasound studies and deployed the full pipeline in a real-time iOS app integrated with the Butterfly probe. A UCSF-led clinical trial has validated the RAP workflow, and we are actively expanding the system to support EF prediction using both A4C and PLAX views. This talk will present our end-to-end pipeline, from dataset development and model training to mobile deployment—demonstrating how AI can enable real-time heart assessments directly at the point of care.

We have built AI-driven tools to automate the assessment of key heart parameters from point-of-care ultrasound, including Right Atrial Pressure (RAP) and Ejection Fraction (EF). In collaboration with UCSF, we trained deep learning models on a proprietary dataset of over 15,000 labeled ultrasound studies and deployed the full pipeline in a real-time iOS app integrated with the Butterfly probe. A UCSF-led clinical trial has validated the RAP workflow, and we are actively expanding the system to support EF prediction using both A4C and PLAX views.\n\nThis talk will present our end-to-end pipeline, from dataset development and model training to mobile deployment—demonstrating how AI can enable real-time heart assessments directly at the point of care.

We have built AI-driven tools to automate the assessment of key heart parameters from point-of-care ultrasound, including Right Atrial Pressure (RAP) and Ejection Fraction (EF). In collaboration with UCSF, we trained deep learning models on a proprietary dataset of over 15,000 labeled ultrasound studies and deployed the full pipeline in a real-time iOS app integrated with the Butterfly probe. A UCSF-led clinical trial has validated the RAP workflow, and we are actively expanding the system to support EF prediction using both A4C and PLAX views. This talk will present our end-to-end pipeline, from dataset development and model training to mobile deployment—demonstrating how AI can enable real-time heart assessments directly at the point of care.

We have built AI-driven tools to automate the assessment of key heart parameters from point-of-care ultrasound, including Right Atrial Pressure (RAP) and Ejection Fraction (EF). In collaboration with UCSF, we trained deep learning models on a proprietary dataset of over 15,000 labeled ultrasound studies and deployed the full pipeline in a real-time iOS app integrated with the Butterfly probe. A UCSF-led clinical trial has validated the RAP workflow, and we are actively expanding the system to support EF prediction using both A4C and PLAX views. This talk will present our end-to-end pipeline, from dataset development and model training to mobile deployment—demonstrating how AI can enable real-time heart assessments directly at the point of care.

Embedded Swift brings Swift to microcontrollers and other resource-constrained platforms. This talk covers hardware interaction, the need for abstraction layers, and practical approaches to writing safe, scalable embedded software.\n\nMy name is Gonzalo, and I’m a mobile engineer with over a decade of experience specializing in iOS. I’ve worked on large-scale consumer apps, led mobile platform efforts, and focused on architecture, build tooling, and developer experience. I care deeply about performance, modular design, and enabling teams to move fast without breaking things.

In this talk, we’ll share how Compass successfully transitioned to using Bazel for its iOS app with zero downtime, significantly improving build performance, CI/CD speeds, and developer experience. You'll hear about the technical challenges we faced during the migration, the solutions that worked (and why), and the strategies that helped us keep everything running smoothly while moving fast.

How does method Swizzling work? What is isa Swizzling? Let’s find out! We’ll also discover tools to do both easily and cleanly. Finally we’ll mention how to use isa Swizzling as a tool for cleaner UI code (UIKit-only, obviously). Whether this is a good idea will be left to the attendee.

In this talk, I'll share practical strategies for creating modular iOS components that aim to reduce a project’s tech debt in the long run. Learn how thinking beyond optimal code solutions to focus on reusability and maintainability can transform your development workflow. I'll demonstrate how separating UI components and business logic into dedicated libraries enables teams to build new features faster while maintaining consistency. Michael is an indie iOS engineer specializing in user experience design with a passion for bringing enterprise-level development methodologies to independent developers. Experienced in creating various application types, from educational technology to consumer-facing apps.

EasyLens is an iOS app that uses AI and computer vision to simplify daily tasks like waste sorting, understanding German documents, and identifying tourist spots. Users simply point their camera and select a feature; the app does the rest using Core ML and OCR.

Learn what it took for our team to replicate the visuals and interactions of the system keyboard so we could provide users with a smooth transition to our keyboard powered by Grammarly functionality. You will be surprised that it requires a bit more than creating 30 UIButtons. We will discuss different animations and interactions that we had to implement. We’ll also describe how we attained feature parity with the system keyboard regarding emoji, which some other third-party keyboards don’t offer. Finally, we’ll explain why original architecture decisions may not always be bulletproof, even for such a simple thing as a keyboard.

Adopting SwiftUI across a large iOS engineering organization. The biggest change in iOS development in the last decade is the introduction of SwiftUI for building interfaces declaratively. In this talk, learn how Etsy adopted SwiftUI in a previously UIKit-centric organization. The effort enabled dozens of iOS engineers to use SwiftUI to iterate more quickly in their work on the Etsy app for buyers, named an Essential Shopping App in Apple's App Store.

A primer on visionOS development. A talk on building for visionOS—from understanding the basics of spatial computing to creating immersive experiences that feel like magic. We'll explore designing and building for Vision Pro, creating custom 3D environments, and what makes spatial apps different from traditional iOS apps. Perfect for iOS developers curious about what's possible in this new dimension of app development.

In this talk I will share some ideas and tips on how a team with a large codebase and an enterprise-level repo could migrate from CocoaPods to Swift Package Manager, and the benefits it would bring to the developer experience. Sean Zhang is a Senior iOS Engineer on the platform team at Capital One.

Don't repeat yourself (DRY). We've all heard it before but inevitably as companies and apps scale, code duplication tends to happen along the way. Come hear about the framework we're building for creating reusable components at DoorDash, how we got there, what we learned along the way, and our vision. Laura is an iOS Engineer at DoorDash on the New Verticals Retail team, working on improving the shopping experience for our Retail merchants like Sephora, Ulta, Dicks Sporting Goods and more! She's been an iOS developer for 7 years and prior to DoorDash worked on ESPN+ and Disney+.

This presentation delves into the concept of Swift modularization, highlighting the practice of breaking down monolithic codebases into smaller, more manageable subprojects. We will discuss the various automation tools available that can streamline the creation and management of these subprojects, making the development process more efficient. Additionally, we will explore the benefits of a modularized codebase, such as improved parallel build processes, faster build times, easier maintenance, and enhanced scalability. Attendees will gain practical insights and strategies to optimize their Swift development workflow for increased efficiency and productivity.

My name is Mani, and I'm currently a Staff Engineer at LinkedIn. I have been working on iOS applications for over a decade, focusing on code modularization and reducing build times by simplifying the creation of subprojects.

We'll work through some Turbo Native examples in real time using the great tutorials that Joe Masilotti has put together. The iOS examples will be built on macOS as required and we'll try to use Windows or WSL for the Android version. This should be a fun one! Please join us 👩‍💻🚀😄