Skip to content

Instantly share code, notes, and snippets.

View bossjones's full-sized avatar
💭
Learning every damn thing I can

Malcolm Jones (bossjones/Tony Dark) bossjones

💭
Learning every damn thing I can
View GitHub Profile
@artsparkAI
artsparkAI / cursorrules.html
Last active June 13, 2025 01:29
example of cursorrules (ignore .html extension, just for highlighting)
You are a world-class Staff Engineer in React, Typescript, Next.js and Tailwind CSS. Your role is to generate complete,
functional front-end code based on the user's specifications. Adhere to these guidelines:
<CleanCode>
Don't Repeat Yourself (DRY)
Duplication of code can make code very difficult to maintain. Any change in logic can make the code prone to bugs or can
make the code change difficult. This can be fixed by doing code reuse (DRY Principle).
The DRY principle is stated as "Every piece of knowledge must have a single, unambiguous, authoritative representation
@kleneway
kleneway / gist:bdfbdd82d07ab80dadb9bcfb5c3a5fef
Created April 30, 2024 16:30
JACoB conversational prompt
Act as a remote junior software developer named Jacob who has been tasked with gathering requirements from a client to write up a new GitHub issue for the development team to implement. Jacob is a little bit quirky and funny, and he has a lot of respect and admiration for the client. This specific client is his favorite to work with, and he wants to make sure they have a great experience while also getting all the information needed for the GitHub issue write-up.
Your job is to have a very short, concise, friendly conversation with the client to elicit all the key details needed for the GitHub issue write-up. The issue write-up should allow another developer to fully understand the scope and requirements without needing any additional information.
Engage in the conversation using the following phases:
Phase 1: Introduction
Greet the client in a friendly manner. Explain that you will be asking them a series of questions to understand their requirements for a new software feature or bug fix. Let them know
@Erisa
Erisa / node_exporter.sh
Last active May 18, 2025 15:30 — forked from galexrt/node_exporter.sh
Simple Prometheus node_exporter install script (Updated for 1.0.1)
#!/bin/bash
set +x
version="${VERSION:-1.6.1}"
arch="${ARCH:-linux-amd64}"
bin_dir="${BIN_DIR:-/usr/local/bin}"
wget "https://github.com/prometheus/node_exporter/releases/download/v$version/node_exporter-$version.$arch.tar.gz" \
-O /tmp/node_exporter.tar.gz
@nkhitrov
nkhitrov / structlog_fastapi.py
Created March 16, 2023 00:04
Structlog FastAPI example
"""
Structlog example configuration with FastAPI.
Features:
- async bound logger
- contextvars to log request-id and other meta data
- custom format for default logging loggers and structlog loggers
"""
import asyncio
import logging
@gilangvperdana
gilangvperdana / README.md
Last active May 20, 2025 21:12
Setup Proxmox Exporter & Visualize it to Grafana

General

Here is my experience installing Exporter on Proxmox and visualizing it on Grafana.

Install PVE Exporter

python3 -m pip install prometheus-pve-exporter

Add User

@BrutalSimplicity
BrutalSimplicity / Dockerfile
Created September 1, 2022 20:20
Dockerfile with asdf + docker install bits
FROM debian:latest
# Install basic dev packages
RUN apt-get clean && apt-get update && apt-get -y install --no-install-recommends \
apt-utils \
openssh-client \
git \
gnupg2 \
dirmngr \
iproute2 \
@joemiller
joemiller / Dockerfile
Last active August 26, 2024 07:39
convert RFC 3164 syslog messages to RFC 5424 for ingestion into Loki/promtail
FROM balabit/syslog-ng:3.35.1
COPY syslog-ng.conf /etc/syslog-ng/syslog-ng.conf
@BoredHackerBlog
BoredHackerBlog / docker-compose.yaml
Last active August 31, 2025 13:41
grafana loki docker-compose file and vector settings
version: "3"
networks:
loki:
services:
loki:
image: grafana/loki:2.4.0
volumes:
- ./loki:/etc/loki
@p1nox
p1nox / pytorch_rtx_3060.md
Last active March 15, 2025 16:05
PyTorch on RTX 3060

After researching a lot on how to use PyTorch with a RTX 3060 card, specially with older versions or torch (0.4.0) and torchvision (0.2.1), I noticed that it was either impossible or very hard to do. RTX 3060 and these packages apparently doesn't have compatibility with the same versions of CUDA and cuDNN. I tried to do this by using different combinations with compiled versions available in conda, but didn't work, maybe it could work if you recompile from source these versions.

After all this, actually I was able to use RTX 3060 effectively with latest versions of all these dependencies with two methods:

  1. Using a conda env, and latest versions published in pytorch site (https://pytorch.org/get-started/locally):
conda create -n rtx_3060 python=3.6.5
conda activate rtx_3060
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia
@christophersjchow
christophersjchow / pipeline.conf
Last active July 8, 2025 16:08
Logstash pipeline and grok patterns for Unifi Dream Machine (UDM) 1.8.6
input {
udp {
port => 10514
type => unifi_syslog
}
}
filter {
if [type] == "unifi_syslog" {
grok {