A practical walkthrough of redesigning 3 iOS app icons using Gemini, evolving from flat design to modern iOS style with gradients and soft lighting. Includes prompts, results, and post-processing tips.
A record of handling a rejected App Store build by replacing the build, updating screenshots, and resubmitting entirely through the App Store Connect API.
A reusable prompt template for generating Apple HIG-compliant iOS app icons using AI image generation tools like Gemini, DALL-E, and Midjourney.
How to handle crash monitoring, analytics, update prompts, and review requests for an iOS app without sending user data to external services — using only Apple-native tools and open-source libraries. Based on real-world experience with an App Store-published app.
A development log for "IIIF AR," an iOS app that places high-resolution IIIF Image API images at real-world scale on detected floor surfaces using ARKit, dynamically loading tiles as the camera approaches.
Investigation and fixes for a 6.7% crash rate in KotenOCR, an iOS OCR app using ONNX Runtime with 6 models totaling ~230MB on disk.
KotenOCR v1.3.0 adds NDLOCR-Lite support for modern printed text OCR alongside the existing classical text (kuzushiji) mode, with one-tap mode switching and parallelized recognition for up to 6.7x speedup.
Using withThrowingTaskGroup to parallelize OCR recognition in an iOS app, achieving 1.4x to 6.7x speedup depending on the number of detected text regions.
Development notes on building JPS Explorer, an iOS/Android app for exploring Japanese cultural heritage using Japan Search APIs, with mobile-specific features and automated App Store submission
KotenOCR is a free iOS app that runs the NDL Koten OCR-Lite model entirely on-device, enabling offline recognition of kuzushiji (classical Japanese cursive script) from photos.
How to build an end-to-end pipeline that captures simulator screenshots with XCUITest, generates marketing images with Python Pillow, and uploads them to App Store Connect via API -- all from a single shell script.
A step-by-step guide to submitting an iOS app update for review entirely from the command line using the App Store Connect REST API—from build upload to review submission.
Learn how to implement a Tip Jar feature in your iOS app using StoreKit 2 and the App Store Connect API — covering product registration, localization, pricing, screenshot upload, TestFlight distribution, and more, all from the command line.
A step-by-step guide to completing nearly all tasks required for App Store review submission—metadata, screenshots, age ratings, build association, encryption compliance, pricing, and more—from the command line using the App Store Connect REST API.