InfoQ - Mobile

Article: The App Is Just the Tip: What It Takes to Build Mobile Infrastructure at Scale

Kirill Sokolov — Wed, 04 Nov 2026 09:00:00 GMT

What determines whether your app feels fast, ships often, and stays stable at scale is not the app itself. It is what sits behind it. This article is about that layer: what it does, why it exists, what it takes to design it correctly, and what happens when you try to migrate a live, high-traffic product onto it without a safety net.

By Kirill Sokolov

Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device

Sergio De Simone — Tue, 03 Nov 2026 19:00:00 GMT

Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability.

By Sergio De Simone

Article: Building an Offline-First AI Coding Tutor for Low-End Android Phones

Chidi Nwaogu — Wed, 28 Oct 2026 09:00:00 GMT

This article is about engineering an offline-first app for low-end devices based on our experience in Nigeria and India. The interesting problems in this space are storage, quota, cold start, and failure-path design. Our approach applies to any product whose users are on constrained devices and intermittent connections, when the assumption they have a laptop and broadband access do not hold.

By Chidi Nwaogu

Google ML Drift Accelerates On-Device AI Inference across Diverse GPUs

Sergio De Simone — Sun, 25 Oct 2026 17:00:00 GMT

Google has released ML Drift, an open-source, cross-platform GPU compute engine designed for on-device AI and machine learning inference. Licensed under Apache 2.0, it abstracts the complexities of different GPU hardware and low-level APIs, supporting OpenGL ES, OpenCL, Metal, and WebGPU.

By Sergio De Simone