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@githubutilities
githubutilities / README.md
Last active September 16, 2026 11:38
Backup a single app from iOS

Backup a single app from iOS

Use iTools extract the ipa file from your iDevices

  • install itools
brew tap githubutilities/tap
brew cask install itools246
@waschmittel
waschmittel / secure-enclave-ssh-setup.mjs
Last active September 16, 2026 11:37
script to setup git/ssh auth and git signing based on https://gist.github.com/arianvp/5f59f1783e3eaf1a2d4cd8e952bb4acf -- git-ssh (push/pull/...) needs fingerprint, commit-signing does not, but both keys are in the secure enclave
#!/usr/bin/env zx
//
// resolveIdentity() falls back from exact-label match to "the sole identity
// with this touch policy" so a key created by hand before this script existed
// gets adopted rather than duplicated; ambiguous cases die rather than guess.
// --cleanup deletes by resolved identity one at a time, never via
// `sc_auth delete-all-ctk-identities`, so unrelated FileVault/PIV/login
// smartcard identities are never touched.
import os from 'node:os';
@jomo
jomo / Minecraft Accounts.md
Last active September 16, 2026 11:36
Tracking down Minecraft account creation

Tracks down when a Minecraft account was created.

How it works

Mojang has an API endpoint for usernames:

https://api.mojang.com/users/profiles/minecraft/<name>?at=<timestamp>

It can be used to find the UUID of an account, by username it used at the given time.
It returns either 200 OK or 204 No Content – indicating that the username was not in use at the time.

@sebjai
sebjai / Execution_Limit_MarketOrder.ipynb
Last active September 16, 2026 11:35
Implementation of optimal execution using limit and market orders from Chap 8.5 of Algorithmic and High-Frequency Trading by Cartea, Jaimungal, & Penalva (2015) Cambridge University Press
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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.

@meghrazchi
meghrazchi / llm-observability-production-best-practices.md
Created September 16, 2026 01:37
LLM Observability: Production Best Practices for AI Agents, RAG, Tracing, Tokens, Costs, and Evaluation

LLM Observability: Production Best Practices for AI Applications and Agents

LLM observability is the practice of monitoring and tracing AI applications to understand LLM calls, prompts, token usage, latency, costs, tool calls, retrieval, agent trajectories, errors, and output quality in production.

For production AI systems, logging only the final LLM response is not enough.

You need visibility across:

  • LLM calls
  • Prompts
@qoomon
qoomon / conventional-commits-cheatsheet.md
Last active September 16, 2026 11:23
Conventional Commits Cheatsheet
@BuonOmo
BuonOmo / emojis.sh
Last active July 31, 2026 14:21
A list of all UTF-8 emojis in bash or zsh
# Obtained with the code written in next file
emoji_grinning_face=πŸ˜€
emoji_grinning_face_with_big_eyes=πŸ˜ƒ
emoji_grinning_face_with_smiling_eyes=πŸ˜„
emoji_beaming_face_with_smiling_eyes=😁
emoji_grinning_squinting_face=πŸ˜†
emoji_grinning_face_with_sweat=πŸ˜…
emoji_rolling_on_the_floor_laughing=🀣
emoji_face_with_tears_of_joy=πŸ˜‚
emoji_slightly_smiling_face=πŸ™‚
@rssnyder
rssnyder / oracle-cloud-free-tier-guide.md
Last active September 16, 2026 11:14
oracle-cloud-free-tier-guide

how to leverage oracle's temping offers

free tier limits

The limits of the free tier say that you can create up to 4 instances.

  • x2 x86 instances (2core/1g)
  • x2 ampere instances (with 4core/24g spread between them)
  • 200GB total boot volume space across all intances (minimum of 50G per instance)

[!WARNING]