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Mobile Development with Fexingo: iOS, Android, and App Building Conversations

Mobile Development with Fexingo: iOS, Android, and App Building Conversations

By: Fexingo
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Lucas and Luna explore the craft of building mobile apps, from iOS and Android fundamentals to architecture decisions and deployment workflows. Each episode digs into a single practical question: how to structure a feature, manage state across platforms, or optimize for performance without sacrificing readability. The hosts debate real-world trade-offs using concrete examples—a navigation pattern in SwiftUI versus Jetpack Compose, the role of dependency injection in testable code, or when to reach for a cross-platform framework. They avoid hype and focus on what works in production, citing open-source libraries and documented case studies from companies like Airbnb, Spotify, and Basecamp. Lucas brings a journalist's rigor, asking why a team chose one approach over another; Luna pushes back with hands-on nuance, drawing from her own experience shipping apps. Together, they serve engineers, technical leads, and product managers who want to stay sharp without chasing every new tool. The conversation assumes you already know the basics and are looking for deeper reasoning—not tutorials. By the end of each episode, you'll have a clearer sense of how to evaluate trade-offs in your own codebase. What does it really take to build an app that users love and teams can maintain? #MobileDevelopment #IOS #Android #AppBuilding #SwiftUI #JetpackCompose #CrossPlatform #SoftwareArchitecture #MobileEngineering #StateManagement #DependencyInjection #AppPerformance #CodeQuality #TechPodcast #Technology #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How Mobile Apps Use On-Device AI for Real-Time Sleep Apnea Detection

    How Mobile Apps Use On-Device AI for Real-Time Sleep Apnea Detection
    Jun 29 2026
    In this episode of Mobile Development with Fexingo, Lucas and Luna dive into how modern mobile apps use on-device AI to detect sleep apnea in real time. They explore the Apple Watch's 2024 apnea detection feature that led to a flood of third-party apps, the technical challenge of processing blood oxygen and movement data locally on a smartphone or wearable, and the regulatory hurdles that developers face. Lucas breaks down the key sensors—pulse oximetry and accelerometer—and how on-device neural networks distinguish apnea events from normal breathing pauses. Luna raises user privacy concerns and the risk of false positives. The episode also touches on how the 2023 FDA clearance of the first over-the-counter sleep apnea app opened the floodgates. Perfect for mobile developers interested in health tech, edge AI, or sensor fusion. #SleepApnea #OnDeviceAI #HealthTech #MobileDev #AppleWatch #PulseOximetry #SensorFusion #EdgeAI #Privacy #FDAClearance #RealTimeAI #Wearables #iOS #Android #Technology #FexingoBusiness #BusinessPodcast #MobileDevelopment Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Mobile Apps Use On-Device AI for Real-Time Skin Cancer Screening

    How Mobile Apps Use On-Device AI for Real-Time Skin Cancer Screening
    Jun 28 2026
    Episode 79 of Mobile Development with Fexingo dives into how on-device AI is enabling real-time skin cancer screening directly from a smartphone camera. Lucas and Luna explore the technical architecture behind apps like SkinCheck and DermaScan, which use convolutional neural networks (CNNs) trained on dermatoscopic images to classify moles and lesions in under two seconds. They discuss the trade-offs between model size and accuracy, the challenge of dataset diversity, and how Apple's Core ML and Google's ML Kit make deployment feasible on consumer devices. The episode also touches on regulatory hurdles, false positive rates, and why privacy advocates favor on-device processing over cloud-based diagnosis. Specific examples include a 2025 study showing 92% sensitivity for melanoma detection on an iPhone 16 Pro, and the open-source model MobileNetV3-Skin. Perfect for developers interested in medical AI applications. #OnDeviceAI #MobileDevelopment #SkinCancerScreening #CoreML #MLKit #ConvolutionalNeuralNetworks #MedicalAI #Dermatology #AIInHealthcare #iPhone16Pro #MobileNetV3 #PrivacyFirst #DigitalHealth #RealTimeAI #AppDevelopment #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Mobile Apps Use On-Device AI for Real-Time Music Transcription

    How Mobile Apps Use On-Device AI for Real-Time Music Transcription
    Jun 28 2026
    In this episode of Mobile Development with Fexingo, Lucas and Luna dive into how modern mobile apps are using on-device AI to transcribe music in real time—converting live audio from a guitar, piano, or even a full song into sheet music or MIDI data. They focus on a specific case: the open-source framework Basic Pitch by Spotify, which has been adapted for mobile. Lucas explains how these models run entirely on the phone's neural engine, with latency under 100 milliseconds, and privacy advantages. They compare it to cloud-based solutions like Google's Magenta, discuss the Apple Neural Engine's role in Core ML, and explore trade-offs between accuracy and speed. Luna brings up practical use cases for musicians learning by ear, and they touch on how this technology could integrate with apps like GarageBand or third-party tuners. The episode also includes a brief, natural donation segment supporting ad-free production. Tune in for a focused, technical conversation that leaves you with a concrete understanding of real-time music transcription on mobile. #OnDeviceAI #MusicTranscription #BasicPitch #Spotify #CoreML #AppleNeuralEngine #MobileDevelopment #iOS #Android #RealTimeAudio #MIDI #SheetMusic #MachineLearning #GarageBand #Magenta #Google #Technology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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