Skip to content

Instantly share code, notes, and snippets.

View bdittmer's full-sized avatar

Brian Dittmer bdittmer

  • Patreon
  • San Francisco, CA
View GitHub Profile
@sergeyk
sergeyk / claude_code_prompts_and_tools.yaml
Last active November 21, 2025 11:12
Claude Code System Prompt and Tool Descriptions
model: claude-opus-4-20250514
messages:
- role: user
content:
- type: text
text: |
<system-reminder>
As you answer the user's questions, you can use the following context:
# important-instruction-reminders
Do what has been asked; nothing more, nothing less.
@tech234a
tech234a / README.md
Last active June 10, 2023 14:03
Using unmodified third-party Reddit apps with a custom server
@Hellisotherpeople
Hellisotherpeople / blog.md
Last active November 23, 2025 20:16
You probably don't know how to do Prompt Engineering, let me educate you.

You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".

Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.

Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

@rain-1
rain-1 / LLM.md
Last active October 20, 2025 07:02
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

I run this on Intel CPU with integrated GPU with suppport for face recognision - i3-8100T . Your CPU need to support JPEG encoding: https://en.wikipedia.org/wiki/Intel_Quick_Sync_Video#Hardware_decoding_and_encoding . The best choice is a processor from the Coffee Lake series.

To run kernel with GPU virtualization you need to boot with params:

init_on_alloc=0 i915.enable_gvt=1 kvm.ignore_msrs=1 intel_iommu=on i915.enable_guc=0

Next, you need this hook to libvirt,

Variables:

@tprelog
tprelog / enable-docker.sh
Last active October 30, 2024 20:38
Use docker-compose on TrueNAS SCALE 22.12 (Bluefin) without Kubernetes
#!/usr/bin/env bash
#
# Enable docker and docker-compose on TrueNAS SCALE (no Kubernetes)
#
# This script is a hack! Use it at your own risk!!
# Using this script to enable Docker is NOT SUPPORTED by ix-systems!
# You CANNOT use SCALE Apps while using this script!
#
# 1 Create a dedicated Docker dataset in one of your zpools
@Niall47
Niall47 / slider.html
Created December 9, 2021 09:33
Power sliders for Raspberry Pi PWM pins. runs on port 8081, give it the Raspberry Pi's IP if you're connecting remotely
<!DOCTYPE html>
<html>
<style>
.rangeslider{
width: 50%;
}
.myslider {
-webkit-appearance: none;
@theodric
theodric / kvm-passthrough-notes
Last active August 25, 2025 14:58
Notes on device passthrough configuration for KVM hosts
2024-12-05: I have moved this information to a git repo which includes BIOS screenshots.
Please go here for all future updates:
https://github.com/theodric/kvm-vfio-notes
---------------------
Notes on getting KVM VFIO working on my hardware:
- CPU: Ryzen 7 5700G
- MB: Biostar B550T-SILVER
- Host GFX: Ryzen 7 5700G iGPU
@Ircama
Ircama / PT-P300BT.md
Last active May 23, 2025 14:56
Print to Brother PTP300BT from a computer
@b01
b01 / download-vs-code-server.sh
Last active July 17, 2025 05:04
Linux script to download latest VS Code Server, good for Docker (tested in Alpine).
#!/bin/sh
# Copyright 2023 Khalifah K. Shabazz
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the “Software”),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions: