Design

• Resolution by device
• Display tech by device
• Camera tech by device
• Fonts by iOS version^Ext

OS by device

• iOS version by device
• iPadOS version by device
• watchOS version by device
• tvOS version by device

OS by usage

• iOS version usage

Hardware

• RAM & processor
• Hardware strings

Swift

• Swift versions^Ext
• Swift 5 cheatsheet^Ext
• All docs^Ext
• Swift Book^Ext

Swift guides

• Closures (mini)^Ext
• Functions^Ext
• Control flow^Ext
• Dispatch^Ext

Guides

• Entering recovery mode
• Objective-C block syntax

Tools

• Hex → Color/UIColor
• WTF, Auto Layout?^Ext
• NSDateFormatter^Ext
• API errors lookup^Ext

Xcode

• Xcode Releases^Ext
• Xcode Build Settings^Ext

Apple docs

• All docs^Ext
• HIG: iOS & watchOS^Ext

App Store

• Review Guidelines^Ext
• Marketing Guidelines^Ext

Pagefind is a fully static search library that aims to perform well on large sites, while using as little of your users’ bandwidth as possible, and without hosting any infrastructure.

Pagefind works with any static HTML output. All static site generators and website frameworks are supported, as long as the built HTML contains the content of the website.

After indexing, Pagefind adds a static search bundle to your built files, which exposes a JavaScript search API that can be used anywhere on your site. Pagefind also provides prebuilt UI components that can be used with no configuration.

The goal of Pagefind is that websites with tens of thousands of pages should be searchable by someone in their browser, while consuming as little bandwidth as possible. Pagefind’s search index is split into chunks, so that searching in the browser only ever needs to load a small subset of the search index. Pagefind can run a full-text search on a 10,000 page site with a total network payload under 300kB, including the Pagefind library itself. For most sites, this will be closer to 100kB.

Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture.

This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama leverages the new GPU Neural Accelerators to accelerate both time to first token (TTFT) and generation speed (tokens per second).

We’ve all been there. We learn ls, cd, and grep, and then we sort of… stop. The terminal becomes a place we live in-but we rarely bother to arrange the furniture. We accept that certain tasks take forty keystrokes, completely unaware that the shell authors solved our exact frustration sometime in 1989.

Here are some tricks that aren’t exactly secret, but aren’t always taught either. To keep the peace in our extended Unix family, I’ve split these into two camps: the universal tricks that work on almost any POSIX-ish shell (like sh on FreeBSD or ksh on OpenBSD), and the quality-of-life additions specific to interactive shells like Bash or Zsh.