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COBOL to C++ migration: modernizing legacy systems guide

A COBOL to C++ migration is one of the most impactful modernization projects an organization can take on, and also one of the most underserved. There are still roughly 220 billion lines of COBOL running in production today. Banks process trillions of dollars through it. Governments run pension systems, tax collection,...

C++ vs Rust Memory Safety - Practical Examples with Modern C++

The memory safety discussion between C++ and Rust has become one of the most active topics in software engineering. Government agencies have weighed in, conference talks are dedicated to it, and opinions run strong on both sides. Let me be upfront: Rust is an excellent language. Its ownership model and borrow checker...

OpenAI ChatGPT 5 vs Grok 4 - Which one creates better Python code?

When it comes to AI-assisted coding, OpenAI ChatGPT 5 and Grok 4 are two of the hottest tools of 2025. Both claim to write Python code with high accuracy and efficiency, but which one actually delivers cleaner, more maintainable scripts in real-world scenarios? In this article, we’ll pit ChatGPT 5 and Grok 4 against...

ChatGPT 5 Review - Features, Improvements & Real-World Performance

ChatGPT 5 has officially arrived, and it’s already making waves in the AI world. Building on the success of GPT-4, OpenAI’s latest release isn’t just about raw intelligence, it’s about speed, accuracy, and adaptability. In this hands-on ChatGPT 5 review, I’ll walk you through my hands-on experience with ChatGPT 5,...

Tiny BPE Trainer – A Fast and Lightweight BPE Trainer in C++

Introducing Tiny BPE TrainerMost modern NLP models today from GPT to RoBERTa, rely on subword tokenization using Byte Pair Encoding (BPE). But what if you want to train your own vocabulary in pure C++? Meet Tiny BPE Trainer - a blazing-fast, header-only BPE trainer written in modern C++17/20, with zero dependencies,...

A Fast, UTF-8 Aware C++ Tokenizer for NLP & ML

Introducing Modern Text TokenizerModern natural language processing (NLP) models like BERT, DistilBERT, and other transformer-based architectures rely heavily on effective tokenization. But C++ developers often face limited options like bloated dependencies, poor Unicode support, or lack of compatibility with...