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---
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-

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package benchmark

import (
	"strconv"
	"testing"
)

var resultSink []byte

func BenchmarkConvertIntToString(b *testing.B) {

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

Non-Visual Profiler

$ nvprof python train_mnist.py

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

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

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

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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

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// Needs Bun

import biome from './biome.json';

// Extracted from https://biomejs.dev/linter/rules/#recommended-rules
const recommended = (await Bun.file('./recommended.txt').text())
  .split('\n')
  .map((x: string) => x.trim())
  .filter(Boolean);

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Per https://code.google.com/p/v8/codesearch#v8/trunk/src/runtime.cc


%CreateSymbol
%CreatePrivateSymbol
%CreateGlobalPrivateSymbol
%NewSymbolWrapper
%SymbolDescription
%SymbolRegistry
%SymbolIsPrivate

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%GetOptimizationStatus return a set of bitwise flags instead of a single value, to access the value, you need to take the binary representation of the returned value. Now, for example, if 65 is returned, the binary representation is the following:

(65).toString(2).padStart(12, '0');
// 000001000001

Each binary digit acts as a boolean with the following meaning:

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// Step 1: Define the Branded Type
type LowercaseString = string & { __brand: "LowercaseString" };

// Step 2: Type Guard Function
function toLowercaseString(s: string): LowercaseString {
    return s.toLowerCase() as LowercaseString;
}

// Step 3: Override Type Definitions
type RemoveToLowerCase<T> = Omit<T, "toLowerCase">;

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declare const __brand: unique symbol
type Brand<B> = { [__brand]: B }
export type Branded<T, B> = T & Brand<B>

/**
 * Branded type for a person's age, should belong to the interval [0, 125] (inclusive)
 **/
type Age = Branded<number, "Age">;

/**