TinyComputers.io

A Critical Analysis of "Tiny C Projects" by Dan Gookin

"Tiny C Projects" by Dan Gookin offers intermediate C programmers a hands-on approach to skill development through 15 practical command-line utility projects, from simple greeting programs to AI-powered tic-tac-toe. While the book excels at teaching through incremental project development with clear explanations and immediately useful results, it falls short by avoiding modern C standards (C11/C17/C23), excluding GUI and network programming, and limiting itself to text-mode applications. Gookin's accessible writing style and "start small and grow" methodology make complex topics digestible, but the book's narrow focus and prerequisite requirements may disappoint beginners seeking an introduction or experienced developers looking for contemporary C practices. Best suited for programmers with basic C knowledge wanting practical project experience, the book delivers solid value for its target audience (7/10) but serves as limited general C instruction (5/10), making it a worthwhile but incomplete resource that benefits from supplementation with more comprehensive texts.

MCDRAG: Legacy Ballistics from 1974 BASIC to Modern Web

Exploring MCDRAG, R.L. McCoy's 1974 drag coefficient estimation algorithm, from its original BASIC implementation to a modern Rust/WebAssembly port with an interactive web terminal

Smart Ballistics: How Machine Learning Helps Calculate Bullet Stability When Data Is Missing

A hybrid physics-ML approach that combines the Miller stability formula with Random Forest regression to predict projectile stability when manufacturer specifications are incomplete

Open Sourcing a High Performance Rust-based Ballistics Engine

The journey of extracting and open-sourcing the Rust core from my ML-augmented ballistics platform into a standalone library with FFI bindings for iOS and Android

Building a Professional-Grade Ballistics Calculator: A Deep Dive into Physics, Performance, and Modern Software Architecture

Codex CLI vs Claude CLI vs Gemini CLI: Terminal Agents Face Off

A comprehensive comparison of three AI-powered command-line tools—OpenAI’s Codex CLI, Anthropic’s Claude CLI, and Google’s Gemini CLI—focusing on their functionality, agentic behavior, extensibility, and real-world utility. Designed for developers, it evaluates how each tool handles tasks like file editing, test automation, multi-step reasoning, and integration with existing workflows, without delving into underlying model architectures. Includes side-by-side tables, practical insights, and clear guidance on which CLI agent best suits different development needs.