32teeth

AI Interaction & Document Generation Preferences

General Interaction Preferences

• No emojis.
• Prioritise clarity over verbosity.
• Challenge assumptions when appropriate.
• Optimise for practical decision-making, not theoretical perfection.
• Present documentation inline unless I explicitly request a downloadable file.
• When providing recommendations, clearly separate facts, assumptions, risks, and opinions.

32teeth

General Interaction Preferences

• No emojis. Ever. Full stop.
• Documentation must be presented inline.
• Downloadable files will only be offered if explicitly requested.

Document Summarization Protocol

When summarizing a document, I will ask whether you want one or more of the following:

32teeth

In innovation work, “What would happen if we don’t do this?” is one of the most powerful clarifying questions you can ask. It forces a shift from solution‑brain to consequence‑brain, which is where real prioritization lives.

What the Question Actually Surfaces

1. Problem Criticality

If nothing meaningfully degrades when the initiative is skipped, the initiative is likely:

• a convenience
• a “nice to have”

32teeth

Engineering Complexity Matrix: Easy/Difficult × Small/Large Radius

This framework helps teams classify, discuss, and de‑risk changes based on logical complexity (easy vs. difficult) and blast radius (small vs. large). Use it in grooming, architecture review, PR preparation, and onboarding.

---

1) Quadrant Matrix (Primary Framework)

Classify the work first; the rest of the guidance follows from the quadrant.

32teeth

# youtube.sh
#
# Description:
#   Downloads a single YouTube (or supported site) video as a high-quality MP3 (320 kbps)
#   using yt-dlp and ffmpeg. It:
#     - Validates required commands (yt-dlp, ffmpeg)
#     - Fetches video title and uploader
#     - Sanitizes the title for a safe filename
#     - Downloads best available audio
#     - Extracts / converts to MP3 @ 320k

32teeth

Using Random Chance in GitHub Actions Workflows

Because... ...Why Not!

Introduction

This document explores the strategic use of random chance in GitHub Actions workflows. By introducing probabilistic execution paths, teams can simulate real-world unpredictability, optimize resource usage, and experiment with delivery strategies. This approach supports goals such as chaos engineering, canary releases, CI load management, A/B testing, observability validation, and developer engagement.

Stochastic Testing (Chaos Engineering Lite)

32teeth

IndianRed=''
LightCoral=''
Salmon=''
DarkSalmon=''
LightSalmon=''
Crimson=''
Red=''
FireBrick=''
DarkRed=''
Pink=''

32teeth

#include "DebouncedInputComponent.h"
#include "TimerManager.h"

UDebouncedInputComponent::UDebouncedInputComponent()
{
    PrimaryComponentTick.bCanEverTick = false;

    DebounceDelay = 0.2f;       // Default debounce delay in seconds
    Threshold = 0.05f;          // Default movement threshold
    LastProcessedValue = 0.0f;  // Initial value for comparison

32teeth

const removeAllTabs = () => {
  const tabs = mynahUI.getAllTabs();
  Object.keys(tabs).forEach(key => mynahUI.removeTab(key, mynahUI.lastEventId));
};

const createTabs = (count) => {
  const addTabButton = document.querySelector('.mynah-ui-icon.mynah-ui-icon-plus');
  for (let i = 0; i < count; i++) {
    addTabButton.click();
  }

32teeth

#!/bin/bash

# Check if directory is provided
if [ -z "$1" ]; then
    echo "Usage: $0 <directory>"
    exit 1
fi

DIRECTORY="$1"