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C++ Getter and Setter Naming Conventions

Disclaimer: ChatGPT generated document.

Typical C++ Convention

Most C++ codebases use one of these patterns:

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Entropy

Disclaimer: ChatGPT generated document.

“Entropy” has a deep meaning in physics and information theory, and the idea has been borrowed into software engineering, systems design, and even project/organizational dynamics. I’ll unpack it from first principles, connect the dots rigorously, and show how the metaphor works in codebases, architectures, and teams.

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🔒 THE COMPLETE SECURITY COURSE (FULL EDITION)

Disclaimer: ChatGPT generated document.

Everything from cryptographic primitives → protocols → system design → modern security architecture

Here is the full, long-form, structured, end-to-end course on all major security concepts, from cryptography to TLS/IPsec/QUIC/WireGuard, to authentication, E2EE, hardware security, network design, protocols, threat modeling, and attacker mindset. This is a full multi-module curriculum, written at a graduate / security engineer level, but without assuming prior crypto expertise.

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Vibe coding

Disclaimer: ChatGPT generated document.

“Vibe coding” is a phrase that didn’t originally come from formal software development, but from online culture (YouTube, Twitch, TikTok, Discord, lo-fi streams, etc). Over the past few years it’s evolved into a recognizable micro-culture and workflow pattern with surprisingly deep psychological, social, and productivity dynamics. Since you asked for everything, here’s a comprehensive breakdown that treats it seriously:

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Endianness, Alignment, and Padding

A Systems-Level Deep Dive for C and C++ Developers

Disclaimer: ChatGPT generated document.

Below is a full, deep, and comprehensive article on endianness, alignment, and padding, written from a systems / C++ perspective and aimed at someone who already thinks about ABI, performance, and portability.

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Deep Dive into Unions in C and C++

Disclaimer: Grok generated document.

Unions are a fundamental feature in both C and C++ for defining data types that can store different types of data in the same memory location. They are particularly useful for memory optimization, type punning (with caveats), and implementing variant-like structures. This guide covers everything from basics to advanced topics, including syntax, semantics, differences between C and C++, pitfalls, use cases, and modern alternatives. I'll use code examples, tables for comparisons, and explanations grounded in language standards (up to C23 and C++23 as of 2025).

1. Introduction to Unions

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Why C++ Has static and Unnamed Namespaces: The Purpose of Internal Linkage

Disclaimer: ChatGPT generated document.

C++ offers two closely related mechanisms—static at namespace scope and unnamed namespaces—to control internal linkage. While they often appear simple or even redundant, they exist to solve fundamental problems in large-scale, multi-file programs.

This article explains what internal linkage is, why it exists, and why unnamed namespaces are the modern, preferred tool.

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Comprehensive Guide to C++ Namespaces

Disclaimer: Grok generated document.

Namespaces in C++ are a fundamental feature for organizing code, preventing name collisions, and providing scoped declarations. Introduced in C++98, they have evolved with features in later standards (C++11, C++17, etc.). This guide covers everything from basics to advanced topics, syntax, rules, best practices, and interactions with other language features.

1. Introduction and Purpose

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OpenGL vs WinForms

Disclaimer: Gemini generated document.

In most scenarios, OpenGL is actually more resource-efficient than WinForms when it comes to rendering performance, but it may have a higher "baseline" memory footprint due to the overhead of initializing graphics drivers and the GPU context.

The comparison depends on whether you are measuring raw hardware efficiency (where OpenGL wins) or startup/idle simplicity (where WinForms wins).

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Determinism vs Non-Determinism in Computer Science: Predictability, Choice, and Computation

Disclaimer: ChatGPT generated document.

At a high level, determinism is about predictability, while non-determinism is about multiple possible outcomes given the same starting point.

Let’s unpack that carefully, from intuition to formal models, with concrete examples.