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

In this episode, Lucas and Luna explore how mobile apps are using on-device AI to perform real-time style transfer — applying artistic filters to photos and video without sending data to the cloud. They focus on the technical breakthrough behind Apple's iOS 18 'Artistic Portrait' feature, which processes a 12-megapixel image in under 200 milliseconds entirely on-device using a neural network train...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps in 2026 are using on-device AI to enable real-time gesture navigation—no cloud, no latency, no privacy trade-offs. They dive into how Apple's UIKit and Google's Jetpack Compose now integrate lightweight neural networks that interpret swipes, pinches, and custom gestures without sending data to servers. The h...

In this episode of Mobile Development with Fexingo, Lucas and Luna dive into the growing trend of on-device AI for real-time object removal in mobile apps. They explore how apps like Google Photos and Adobe Lightroom now allow users to erase unwanted people, power lines, or photobombers instantly without sending data to the cloud. Lucas explains the underlying technology—semantic segmentation and...

In this episode, Lucas and Luna explore how Android developers are using Kotlin Flow for reactive UI patterns in 2026. They break down a real example: a food delivery app that eliminated manual state refreshing by using Flow to observe live order status changes. Lucas explains the difference between StateFlow and SharedFlow, and why cold flows matter for database queries. Luna shares how iOS devel...

Lucas and Luna explore how mobile apps are using on-device AI to modulate voices in real time—changing pitch, tone, and accent during calls, recordings, and live streaming. They break down the technology behind voice conversion models that run entirely on the phone, preserving privacy while enabling new use cases from accessibility to entertainment. The episode focuses on the specific case of a 20...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps are using on-device AI to summarize text in real time. They break down the technical challenges—like running large language models on a phone without draining the battery—and highlight concrete examples, from news apps that condense articles into three bullet points to messaging apps that summarize group cha...

Lucas and Luna dive into the growing trend of mobile fitness apps using on-device AI to provide real-time coaching without cloud latency. They examine the case of the popular app FitForm, which uses a smartphone camera and on-device machine learning models to analyze exercise form in real time, offering corrective feedback on squats, push-ups, and yoga poses. The episode covers how this technology...

Episode 47 of Mobile Development with Fexingo explores how mobile apps are now using on-device AI for real-time lip reading. Lucas and Luna break down the technology behind visual speech recognition, its current accuracy rates, and practical use cases like accessibility for the deaf and hard-of-hearing, silent command input in noisy environments, and privacy-preserving authentication. They discuss...

In this episode of Mobile Development with Fexingo, Lucas and Luna dive into how mobile apps are leveraging on-device AI for real-time language translation, moving beyond cloud-dependent models. They explore the technical shift from server-based translation to on-device neural networks, focusing on a concrete example: the translation feature in WhatsApp that now runs entirely on-device, reducing l...

Episode 45 of Mobile Development with Fexingo dives into on-device AI-powered real-time video upscaling. Lucas and Luna unpack how Qualcomm's Snapdragon 8 Gen 4 chip and Apple's A18 Bionic enable 1080p to 4K upscaling locally, without cloud latency. They explore the neural engine architecture, the power draw improvements—down to 2.3 watts per hour—and why this matters for streaming apps, social pl...

On this episode of Mobile Development with Fexingo, Lucas and Luna dive into the growing trend of on-device AI for real-time transcription in mobile apps. They explore why developers are moving transcription processing from the cloud to the device, focusing on privacy, speed, and offline accessibility. Lucas breaks down the technical challenges, like balancing accuracy with latency on mobile chips...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps are using federated learning to train AI models on user data without ever sending that data to the cloud. They break down the technical architecture—how model updates are computed on-device, aggregated, and averaged—and discuss real-world implementations from Google's Gboard keyboard to Apple's QuickType and...

Lucas and Luna explore how mobile apps are moving ad targeting from the cloud to the device, using on-device AI models that analyze user behavior without sending data to servers. They break down Google's Privacy Sandbox for Android and Apple's SKAdNetwork as real-world frameworks, and discuss the trade-offs for developers: less precise targeting but better privacy compliance. The hosts also touch...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how on-device graph databases are transforming mobile app personalization. They use LinkedIn's recommendation engine and a hypothetical dating app to illustrate why graph structures outperform traditional relational databases for modeling user relationships and content affinity. The discussion covers performance gains (sub-...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore the rise of on-device AI for real-time photo editing in mobile apps. They focus on how apps like Adobe Lightroom and Google Photos now run complex editing models directly on the phone, eliminating cloud latency and privacy trade-offs. Lucas explains the technical shift from GPU to NPU processing, citing Apple's Neural Engin...

In episode 39 of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps are generating personalized soundscapes using on-device AI. They discuss the rise of adaptive audio in meditation, focus, and sleep apps, focusing on the case of Endel—a Berlin-based startup that creates real-time sound environments based on user context like heart rate, time of day, and activity. The hosts br...

Episode 38 of Mobile Development with Fexingo explores a growing trend: apps that ask for zero data permissions yet still deliver personalized experiences. Lucas and Luna examine how on-device processing, differential privacy, and federated learning allow apps like a meditation app to tailor content without ever accessing your location, contacts, or photos. They break down the technical stack — on...

Episode 37 of Mobile Development with Fexingo dives into predictive back gestures—a subtle but powerful UX shift rolling out across Android 16 and iOS 20 in 2026. Lucas and Luna break down how Google's predictive back animation reduces accidental exits by an estimated 12 percent in beta testing, and how Apple's peek-and-pop-inspired back preview is changing navigation habits. They explore real-wor...

Lucas and Luna explore how mobile apps are integrating voice cloning technology in 2026. They focus on a specific case: the meditation app Calm now offers a 'Voice of a Loved One' feature letting users record a family member reading guided sessions. The hosts break down the technology — on-device cloning using tiny neural networks — and discuss privacy risks, Apple and Google's stance, and what th...

Lucas and Luna explore how mobile apps are adding companion modes — secondary, lightweight experiences that run on a second device like a smartwatch, tablet, or even a car screen. They break down Spotify's smartwatch remote for car play, Google Maps' wrist-turn-by-wrist, and how Strava lets you leave your phone at home. They discuss the design challenges of syncing state across devices and why App...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps are using adaptive color to improve accessibility and user experience. They dive into the technical details of dynamic theming, contrast management, and the shift from static palettes to context-aware color systems. Using real-world examples like Apple's Dynamic Type and Google's Material You, they discuss h...

Dark patterns — interface tricks designed to get you to do something you didn't intend — are more sophisticated than ever in 2026. This episode focuses on one specific, widely adopted technique: the 'confirmshaming' pattern, where an app guilts you into opting in to something by making the 'no' button say something like 'No thanks, I don't want to save money.' Lucas and Luna break down how apps li...

In this episode, Lucas and Luna explore how mobile apps are using app indexing to improve discoverability in a saturated market. They dive into Apple's App Indexing API and Google's App Indexing for Android, explaining how deep linking and spotlight search can drive organic installs and re-engagement. Lucas breaks down how Starbucks saw a 12% increase in order volume after implementing indexed dee...

In this episode of Mobile Development with Fexingo, Lucas and Luna explore how mobile apps are integrating smart lockers for secure, contactless package delivery. They dive into the rise of smart locker networks from companies like Amazon, Walmart, and Walgreens, and how app developers are embedding locker APIs for seamless pickup experiences. The conversation covers the technical challenges—like...

Episode 30 of Mobile Development with Fexingo explores on-device machine translation in iOS and Android apps. Lucas and Luna discuss why developers are moving away from cloud-based translation APIs to small, efficient language models running directly on the phone. They examine Apple's on-device translation framework, Google's ML Kit updates, and the trade-offs around accuracy, privacy, and offline...