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WikipediaBrown/README.md

I design and build CI/CD, MDM, AI/ML, VDI, and CUA systems customers use to run fleets of Macs on Apple Silicon. After hours: iOS apps, macOS tools, and open-source Swift.

Shipped at Capital One · Uber · Robinhood · Apple · Amazon Web Services.

Currently shipping

Open-source macOS VM manager for Apple Silicon. Ephemeral runner pools, warm-pool scrub validation, Kubernetes orchestration. 424 tests, MIT-licensed.

spooktacular.app

A Swift 6.2 framework for building apps as a tree of isolated, composable units. Uber's RIBs pattern, rebuilt for Swift Concurrency.

getnapkin.to

A small Swift package for working with SF Symbols. Extensions on String, UIImage, and NSImage; the full symbol catalog is generated by a Python script.

sfsymbolskit.com

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  1. napkin napkin Public

    Swift 6.2 framework for clean-architecture apps as a tree of isolated, composable units. Modeled on Uber's RIBs, rebuilt around Swift Concurrency.

    HTML 2

  2. SFSymbolsKit SFSymbolsKit Public

    SFSymbolsKit makes using SFSymbols easy peasy.

    Swift 15

  3. Spooky-Labs/spooktacular Spooky-Labs/spooktacular Public

    macOS virtual machine manager for Apple Silicon. Enterprise CI/CD runners, ML workloads, and remote desktop.

    Swift

  4. This is an implementation of the Fis... This is an implementation of the Fisher-Yates shuffling algorithm in Swift as modernized by Richard Durstenfeld.
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    //# Fisher-Yates Shuffle
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    //## Implemented in Swift
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    //This is an implementation of the Fisher-Yates shuffling algorithm as modernized by Richard Durstenfeld. His version shuffles the collection in place. This implementation is based on the psuedo-code used to describe the algorithm at [Wikipedia](https://en.m.wikipedia.org/wiki/Fisher–Yates_shuffle#The_modern_algorithm). Here, we extend the Array struct with a ```shuffle()``` function. With this extension, we can quickly and uniformly shuffly any array (no matter the elements) in O(n) time.
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    //    From Wikipedia/n
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    //>The Fisher–Yates shuffle is an algorithm for generating a random permutation of a finite set—in plain terms, the algorithm shuffles the set. The algorithm effectively puts all the elements into a hat; it continually determines the next element by randomly drawing an element from the hat until no elements remain. The algorithm produces an unbiased permutation: every permutation is equally likely. The modern version of the algorithm is efficient: it takes time proportional to the number of items being shuffled and shuffles them in place.