Documentation of digital experiments, engineering rants, and the pursuit of a perfectly optimized brutalist web.
Learn how Go structs work — defining custom types, creating instances, passing by value vs pointer, adding methods, and using constructor functions for clean, validated Go code.
Explore what data means in AI — structured vs unstructured data, how to collect and label it, three acquisition strategies, common data mistakes to avoid, and real-world ML examples.
Learn how large language models like ChatGPT work — from next-word prediction and supervised learning to neural networks, scaling, and fine-tuning for safety and instruction-following.
Master the Node.js fs module — async and sync methods for reading, writing, renaming, and deleting files, plus directory creation and FAQs, with practical code examples.
Learn the difference between app.use and app.all in Express.js — middleware vs route handling, partial vs exact path matching, and when to use each with clear examples and a comparison table.
Understand how Node.js handles concurrency — single-threaded JavaScript execution, libuv thread pool, worker threads for CPU-intensive tasks, and when to use each approach.
Explore how JavaScript goes from source code to execution — parsing, AST generation, Ignition interpreter, TurboFan JIT compiler, and bytecode optimization explained step by step.
Learn the Barrel Pattern — how to use index.ts barrel files to simplify imports, reduce deep path complexity, and keep your JavaScript and TypeScript projects organized and maintainable.
Deep dive into how Node.js require() resolves module paths, checks the module cache, wraps code in closures, executes modules, and returns exports — with annotated source-level walkthrough.