| Integrante | Carnet |
|---|---|
| Brandon Alejandro Zelada Rodriguez | 202505514 |
| Elner David Montepeque Pineda | 202501281 |
| Integrante 3 | Carnet |
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| --[[ VoltageHack v2 Garry's Mod multi-hack ]]-- | |
| --[[ Coded by Tyler with help from others ]]-- | |
| --[[ Do NOT leak this hack code to anyone! ]]-- | |
| --[[ Please ignore the awful messy code ]]-- | |
| --[[ Some of this code is borrowed for now ]]-- | |
| /* Start of Hack */ | |
| --Requires-- |
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.
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.
These rules define how an AI coding agent should plan, execute, verify, communicate, and recover when working in a real codebase. Optimize for correctness, minimalism, and developer experience.
- Correctness over cleverness: Prefer boring, readable solutions that are easy to maintain.
- Smallest change that works: Minimize blast radius; don't refactor adjacent code unless it meaningfully reduces risk or complexity.
Una clínica veterinaria actualmente lleva el registro de mascotas, propietarios y citas de forma manual utilizando cuadernos y archivos de Excel.
Debido al crecimiento de la clínica, se han presentado problemas para localizar información, controlar las citas y mantener actualizados los
Una clínica veterinaria actualmente lleva el registro de mascotas, propietarios y citas de forma manual utilizando cuadernos y archivos de Excel.
Debido al crecimiento de la clínica, se han presentado problemas para localizar información, controlar las citas y mantener actualizados los