How we built an automated unit test generation pipeline for iOS

Antithesis: autonomous software testing

Try the Antithesis autonomous testing platform and find bugs in your software with perfect reproducibility

Introducing Apple’s On-Device and Server Foundation Models

At the 2024 Worldwide Developers Conference, we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18…

Hello, World

First post — testing the pipeline.

Part 3: iPhone Hardware and How It Powers On-Device AI

By Mirai Labs, frontier on-device AI lab. Building the models, inference runtime, and quantization stack from the device constraint up.

Part 4: Brief history of Apple ML Stack

By Mirai Labs, frontier on-device AI lab. Building the models, inference runtime, and quantization stack from the device constraint up.

Responding to invocations | Apple Developer Documentation

Add code to respond to invocations and offer a focused launch experience.

GoogleChromeLabs/wpt-gen

A CLI tool to analyze feature specs and generate the required web platform tests

Introducing Pipette: A benchmarking suite for on-device intelligence — Blog

Meet Pipette, an open-source platform for reproducible on-device AI benchmarks across models, quantization, runtimes and hardware.

UTM

Run virtual machines on iOS

202605 - apenwarr

In recent months I've heard of several teams with an interesting policy: each pull request should be no more than a few files, and no more than a certain number of lines (say 500). And do just one thing and do it well. And be easy for a human to review. And be fully tested by the test suite.

Xcode 26 Release Notes | Apple Developer Documentation

Update your apps to use new features, and test your apps against API changes.