dmzoneill

---
name: code-complete-review
description: Multi-agent code quality review combining Code Complete smells, AI slop detection, and 24 opinionated best practices. Uses 3 agents in a Ralph Wiggum loop to scan, fix, and verify. Use when the user asks for code review, code quality, code smells, Code Complete review, Ralph Wiggum loop, slop scan, AI slop, or opinionated review.
---

# Code Complete Review + AI Slop Detection

A 3-agent iterative code quality system: 24 Code Complete smells + 20 AI slop
anti-patterns + 24 opinionated best practices = **68 checks**. Uses the
**Ralph Wiggum Loop** -- scan, fix, verify, repeat until clean.

dmzoneill

Complete Guide: Multi-Instance Ollama Setup with NPU, Intel GPU, NVIDIA GPU, and CPU

System: Fedora 43 Linux Desktop Hardware: Intel Core Ultra 7 268V (Meteor Lake) with NPU, Intel Arc iGPU, NVIDIA RTX 4060 Laptop GPU Setup Date: 2026-01-10 Author: Claude Code Version: 2.0 - Comprehensive Edition Purpose: Run 4 independent Ollama instances simultaneously on different hardware accelerators for optimal power/performance/cost flexibility

---

jyapayne

import argparse
import sys

def text_to_flag(text: str) -> str:
    """
    Convert input text to flag emojis by mapping A–Z/a–z to regional indicator
    symbols. Non-alphabetic characters are left unchanged.
    """
    result = []
    for char in text: