『Mobile Development with Fexingo: iOS, Android, and App Building Conversations』のカバーアート

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

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

著者： 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. 経済学
エピソード
  • How Mobile Apps Use On-Device AI for Real-Time Sign Language Translation

    How Mobile Apps Use On-Device AI for Real-Time Sign Language Translation
    2026/07/21
    Lucas and Luna explore a compelling new use case for on-device AI: real-time sign language translation via mobile apps. They dive into how companies like SignAll and Google are training models on fingerspelling datasets, the challenge of capturing facial expressions and body movement alongside hand gestures, and why Apple's Neural Engine makes low-latency inference possible without cloud dependency. They also discuss the accuracy trade-offs, the importance of preserving grammatical structure in sign languages like ASL, and what this technology means for accessibility. Specific numbers: the model runs at under 100 milliseconds per frame, uses about 2 watts of power, and supports a vocabulary of roughly 500 signs in current consumer apps. The conversation closes with the question of whether on-device translation can ever capture the nuance of a native signer. #SignLanguageTranslation #OnDeviceAI #MobileTechnology #Accessibility #ASL #NeuralEngine #SignAll #Google #MachineLearning #iOS #Android #RealTimeTranslation #DeepLearning #GestureRecognition #EdgeAI #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    12 分
  • How Mobile Apps Recognize Handwritten Notes With On-Device AI

    How Mobile Apps Recognize Handwritten Notes With On-Device AI
    2026/07/21
    Lucas and Luna explore how mobile apps now use on-device AI to recognize handwriting in real time, no cloud needed. Starting with Google's Handwriting Input API and the MyScript engine (now part of Apple's PencilKit), they dive into the technical challenge: training models on millions of handwritten samples across dozens of scripts. They discuss how Apple's 2025 on-device Transformer architecture improved cursive recognition by 40 percent, and how apps like GoodNotes and Notability use custom models to convert scribbles into searchable text. The conversation covers the privacy benefits — your handwriting data never leaves the phone — and the surprising accuracy rates: up to 97 percent for clean print, 92 percent for messy cursive. Luna shares a demo fail anecdote from a developer conference where the model confused her recipe for 'spaghetti carbonara' as 'spaghetti carbonara' (it was correct, but the audience laughed). They wrap up with a forward look: handwriting-to-text is now being integrated into more note-taking and productivity apps, potentially killing standalone OCR scanners. #HandwritingRecognition #OnDeviceAI #MobileApps #ApplePencilKit #MyScript #GoogleHandwritingInput #GoodNotes #Notability #Privacy #Transformer #CursiveRecognition #OCR #NeuralEngine #MachineLearning #TechPodcast #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Mobile Apps Are Digitizing Your Physical Receipts With On-Device AI

    How Mobile Apps Are Digitizing Your Physical Receipts With On-Device AI
    2026/07/20
    Lucas and Luna dive into the world of receipt-scanning apps that use on-device AI to extract, categorize, and analyze purchase data without sending your shopping history to the cloud. They break down how models like Apple's Vision framework and open-source OCR engines parse messy till slips, handle faded thermal paper, and classify spending categories in real time. They also discuss the privacy angle: why keeping receipt data on your phone matters for financial tracking apps, and how one startup, 'ReceiptHero', processes over 50 million receipts per month entirely on-device. Plus, they explore the technical challenges — skewed images, multilingual text, and handwritten notes — and what this means for the future of personal finance automation. A focused, numbers-driven conversation for anyone curious about the invisible AI turning paper clutter into digital insight. #OnDeviceAI #ReceiptScanning #MobileApps #ComputerVision #OCR #AppleVision #Privacy #PersonalFinance #ExpenseTracking #MachineLearning #RealTimeProcessing #ThermalPaper #ReceiptHero #EdgeAI #CoreML #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 分
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