Ioni jsolarz

name

measure-software-simplicity

description

Measure and report how well a design, pull request, module, service, refactor, or repository follows software-simplicity principles such as Single Responsibility, deep modules, single knowledge ownership, low change amplification, low caller burden, valid-state design, actionable failures, controlled scope, and evidence-based performance work. Use for architecture assessments, code reviews, maintainability audits, refactoring baselines, before-and-after comparisons, and engineering quality reports.

Measure Software Simplicity

Assess simplicity with Goal-Question-Metric (GQM), repository evidence, and a calibrated scorecard. Treat measurements as decision support.

Rules

Audit this entire codebase for materially useful simplifications in its data structures, state representation, control flow, algorithms, and ownership.

This is an audit-only exercise. Do not edit files, run tests, implement recommendations, commit, or push. Read-only inspection commands are allowed.

You are the coordinator. Continue until the complete codebase has been reviewed and the final audit is validated.

Establish the coverage contract

Inspect the repository and inventory every identifiable subsystem.

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.

MOVED to https://github.com/dotnet/aspire/blob/main/docs/specs/appmodel.md

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

	# ══════════════════════════════════════════════════════════════════════
	# SETUP — install everything this file depends on
	# ══════════════════════════════════════════════════════════════════════
	# Core tools (one line). Run once on a fresh machine:
	#
	# brew install starship fzf zoxide eza bat
	#
	# starship — the prompt
	# fzf — fuzzy finder (Ctrl+R history, Ctrl+T files)
	# zoxide — smart cd (`z <partial>` jumps to frequent dirs)

	/// <summary>
	/// Custom setting for presenting runtime exceptions using AnsiConsole.WriteException.
	///
	/// The idea here is to present different types of exceptions with different colors while
	/// one would be for all exceptions and the other(s) for specific exception types.
	/// </summary>
	public class ExceptionHelpers
	{
	/// <summary>
	/// Provides colorful exception messages in cyan and fuchsia

	### WARNING: READ CAREFULLY BEFORE ATTEMPTING ###
	#
	# Officially, this is not recommended. YMMV
	# https://www.raspberrypi.com/news/bookworm-the-new-version-of-raspberry-pi-os/
	#
	# This mostly works if you are on 64bit. You are on your own if you are on 32bit or mixed 64/32bit
	#
	# Credit to anfractuosity and fgimenezm for figuring out additional details for kernels
	#

	####################################################################################################
	# dotNetDave's (David McCarter) Editor Config - dotNetTips.com
	# Updates to this file are posted quarterly at: https://bit.ly/EditorConfig5
	# Updated August 1, 2026
	# Code performance book is available at: https://bit.ly/CodePerf5
	# Coding standards book is available at: https://bit.ly/CodingStandards20th
	####################################################################################################

	root = true

	#!/bin/bash
	iatest=$(expr index "$-" i)

	#######################################################
	# SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me
	#######################################################

	# Source global definitions
	if [ -f /etc/bashrc ]; then
	. /etc/bashrc