Humberto Gomez Lopez Hoijof
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| # The Hoijof Process | |
| The "Hoijof Process" is a structured, documentation-first, and AI-friendly software development methodology designed to successfully deliver complex projects systematically with high test coverage and transparent decision-making. It is tailored to handle large context applications and maximize the efficiency of AI coding assistants. | |
| --- | |
| ## Quick Start (TL;DR) | |
| 1. **Check the Roadmap:** Read the current Phase Roadmap to understand the next priority and overarching goal. | |
| 2. **Read/Write the Design Doc:** Outline the "What" and the "Why" for the upcoming feature before any code is written. Get it approved. | |
| 3. **Follow the Implementation Plan:** Execute the strict Test-Driven Development (TDD) loop task-by-task. |
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| body { | |
| background: red !important; | |
| font-size: 434px; | |
| } |
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| [ | |
| "King", | |
| "Lewis", | |
| "Black", | |
| "White", | |
| "Ames", | |
| "Warner", | |
| "Simpson", | |
| "Parker", | |
| "Suave", |
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| [ | |
| "Amanda", | |
| "Laura", | |
| "Anne", | |
| "Jessica", | |
| "Lisa", | |
| "Bonita", | |
| "Angel", | |
| "Pat", | |
| "Yan-ping", |
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| [ | |
| "Ryan", | |
| "Sergio", | |
| "Bill", | |
| "James", | |
| "Marty", | |
| "Angel", | |
| "Pat", | |
| "Toshiro", | |
| "Yan-ping", |
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| /* City population < 100,000 = listed once if the city is somehow important | |
| (i.e., biggest city in a U.S. state or territory, or most important city in a | |
| metropolitan area with over 200,000 people) | |
| 100,000 < City population < 200,000 = listed once | |
| 200,000 < City population < 400,000 = listed twice | |
| 400,000 < City population < 600,000 = listed 3 times | |
| 600,000 < City population < 1,000,000 = listed 4 times | |
| 1,000,000 < City population < 5,000,000 = listed 5 times | |
| 5,000,000 < City population = city listed 6 times and each of its 5 its boroughs listed 1-2 times | |
| Anyway, for states/territories without big cities their biggest city is listed once |
Hoijof
/ genericNames
Created
June 25, 2014 15:40
Generic names, surnames and town names in js Array format
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| var femaleNames = ["Aekkein", "Erna", "Gica", "Iris", "Laen", "Oanei", "Urusla", "Unt", "Zy", "Giny", "Teni", "Tania", | |
| "Tenisa", "Falish", "Tirs", "Bera", "Boria", "Terkia", "Tronash", "Si", "Gi", "Ti", "Fi", "Di", "Mi", "Peli", "Irnia", "Beth", | |
| "Riven", "Vi", "Lio", "Nayeli"]; | |
| var maleNames = ["Anttirnet", "Carnil", "Estiv", "Halt", "Hoijof", "Laen", "Lisiern", "Berin", "Ton", "Shome", "Regit", | |
| "Lurin", "Maers", "Musten", "Oanei", "Raesh", "Terio", "Unt", "Ust", "Redik", "James", "Loki", "Tem", "Regot", | |
| "Josh", "Tom" ,"Jei", "Lioth"]; | |
| var surnames = ["Golpeo", "Anorda", "Severnin", "Part", "Kek-vek-loah", "Vaen", "Nerivin", "Haeshi", "Vin-ti-selh", | |
| "Ver-to", "Vintoret", "Da Teri", "Von Bien", "Maer", "Serisn", "Vintaren", "Bertis", "Tetirit", "Tornet", "Bellabi", |