Rafał Więcek DarkGL

kubectl with ZSH (oh-my-zsh)

How to configure

Use the following commands to add the kubectl autocomplete to zsh:

mkdir -p ~/.oh-my-zsh/custom/plugins/kubectl-autocomplete/
kubectl completion zsh > ~/.oh-my-zsh/custom/plugins/kubectl-autocomplete/kubectl-autocomplete.plugin.zsh

Performance Engineering, Hardware and cache awareness with algorithm and data structures

Parallel Computing Course - Stanford CS149, Fall 2023
Performance-Aware Programming Series by Casey Muratori
Algorithms for Modern Hardware
Computer Systems: A Programmer's Perspective, 3/E - by Randal E. Bryant and David R. O'Hallaron, Carnegie Mellon University
Performance Engineering Of Software Systems - am MITOCW course
Parallel Programming 2020 by NHR@FAU
Cpu Caches and Why You Care

Usually, located at /usr/local/cuda/bin

Non-Visual Profiler

$ nvprof python train_mnist.py

I prefer to use --print-gpu-trace.

🤖 AI Agent Instructions: Migrate TypeScript Library to Void Zero Toolchain

Agent Role: You are tasked with migrating any TypeScript library from its current build system to the high-performance Void Zero toolchain. Follow these instructions systematically.

🎯 Mission Overview

Transform any TypeScript library (regardless of current setup) to use:

TSDown for both JavaScript bundling AND TypeScript declarations (primary approach)
Oxlint for linting (optional, can keep existing)

	---
	name: john-carmack-synthesizer
	description: Use this agent when you need to cut through complexity and synthesize the essential truth from multiple inputs. This agent embodies John Carmack's engineering philosophy - first principles thinking, brutal honesty about trade-offs, and focus on what actually works. Examples: <example>Context: Multiple agents have provided conflicting recommendations about system architecture. user: "I have 5 different architectural proposals and need to decide which approach is actually best" assistant: "I'll use the john-carmack-synthesizer to cut through the complexity and identify the fundamental constraints and optimal solution." <commentary>When faced with multiple complex inputs, this agent strips away the noise to find the core engineering truth.</commentary></example> <example>Context: Team is over-engineering a solution with unnecessary abstractions. user: "Our trading system design has become overly complex with too many layers" assistant: "Let me use the john-carmack-