chiliec

#!/usr/bin/env bash
set -euo pipefail

usage() {
  cat <<'EOF'
convert-video — convert video to MP4 with optional quality presets

Usage:
  convert-video [--quality small|tiny] [--force] <input>
  convert-video --help

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

chiliec

import FormData from "form-data";
import fs from "node:fs";
import axios from "axios";

export async function generate(
  originalImagePath: string,
  resultImageName: string,
  prompt: string,
  negativePrompt: string,
  strength: number,

jasonbekolay

# In the command line, find the PID of your simulator process:
ps -p `pgrep launchd_sim`

# or if you have many simulators running:
ps -A | grep launchd_sim

# Find the PID of the WebContent process:
pgrep -P <simulator-pid> 'com.apple.WebKit.WebContent'

# kill it

victor-homyakov

/* eslint-disable no-var,no-console */
// detect unused CSS selectors
(function() {
    var parsedRules = parseCssRules();
    console.log('Parsed CSS rules:', parsedRules);
    detectDuplicateSelectors(parsedRules);

    var selectorsToTrack = getSelectorsToTrack(parsedRules);
    window.selectorStats = { unused: [], added: [], removed: [] };
    console.log('Tracking style usage (inspect window.selectorStats for details)...');

julesjans

# Turn on the simulator screen capture
xcrun simctl io booted recordVideo ~/simulator.mov

# Convert the iPhone 6s screen shot into a gif:
ffmpeg -i ~/simulator.mov -vf scale=320:-1 -r 6 -f gif -y simulator.gif

natanrolnik

fastlane_version "1.33.0"
default_platform :ios

platform :ios do

  before_all do
    cocoapods
    ENV['KEYCHAIN_NAME'] = "TempKeychain.keychain"
  end

jverkoey

/** The returned generator will enumerate each value of the provided tuple. */
func generatorForTuple(tuple: Any) -> AnyGenerator<Any> {  
  return anyGenerator(Mirror(reflecting: tuple).children.lazy.map { $0.value }.generate())
}

// Blogged at http://design.featherless.software/enumerating-tuple-values-swift/

ryanolsonk

JaviLorbada

Videos

• Introduction to Functional Programming Johannes Weiß - https://vimeo.com/100786088
• ReactiveCocoa at MobiDevDay Andrew Sardone - https://vimeo.com/65637501
• The Future Of ReactiveCocoa Justin Spahr-Summers - https://www.youtube.com/watch?v=ICNjRS2X8WM
• Enemy of the State Justin Spahr-Summers - https://www.youtube.com/watch?v=7AqXBuJOJkY
• WWDC 2014 Session 229 - Advanced iOS Application Architecture and Patterns Andy Matuschak - https://developer.apple.com/videos/play/wwdc2014/229/
• Functioning as a Functionalist Andy Matuschak - https://www.youtube.com/watch?v=rJosPrqBqrA
• Controlling Complexity in Swift Andy Matuschak - https://realm.io/news/andy-matuschak-controlling-complexity/