2026
The Brute-Force Illusion: Why Bigger AI Models Aren't Smarter
Scaling Delivers Capability, Not Comprehension
"Bigger models, smarter AI" — this mantra has defined recent years of artificial intelligence, promising that scale alone would unlock human-like reasoning. As the hype fades, the limitations of brute
AI: A Field, Not a Buzzword
From Symbolic Logic to Neural Networks — Why AI's Diversity Matters for Engineers
Artificial Intelligence (AI) is everywhere — but what even is AI? Behind the buzzword lies a diverse field: symbolic systems, statistical models, neural networks, each with distinct strengths and trad
The Invisible Engineer: Why Your Best Work Disappears (And How to Fix It)
How to prove your impact when prevention is your superpower—and silence is the reward
Your best work disappears—along with your recognition. Consider an aircraft’s flight system: triple redundancy, failover protocols, seamless operation. No heroic rescues. That’s how proactive engineer
Test-Driven Development: The Pragmatic Path to Software Correctness
How executable examples mitigate bugs from ambiguous requirements—the root of 60–80% of defects
Why Most Software Ships With Unproven Assumptions Most software teams face a correctness paradox: they need the rigor of formal verification but can’t afford its cost. Test-Driven Development (TDD) of
2025
Containerized Embedded Development: The Right Tools for Reproducible Workflows
Podman vs. Docker, DevContainers vs. Codespaces—how to choose tools that actually work for hardware debugging, team collaboration, and CI.
Missed Part 3 of the “Practical Embedded Development, Containerized” series? Read about Bridging the Three Worlds in Containerized Embedded Develoment first. You’re sold on containerizing embedded dev
Containerized Embedded Development: Bridging the Three Worlds (Without the Chaos)
How to avoid the pitfalls of containers in embedded systems—from toolchain fragmentation to hardware access hacks
Missed Part 2 of the “Practical Embedded Development, Containerized” series? Read about Containers for Embedded Developers first. You containerized your embedded workflow to end “works on my machine”—
Navigating the Tech Maze: Your GPS for Adaptive Development (Part 2)
Plotting Your Course: From Experience to Evidence-Based Principles
In Part 1, we established that navigating a software engineering career requires a robust adaptive GPS system — where principles act as routing preferences and experience fuels real-time adjustments.
Navigating the Tech Maze: Your GPS for Adaptive Development (Part 1)
Setting Your Course: Strong Opinions and Constructive Discontent
In today's fast-moving software world, adaptability isn't just helpful — it's essential for staying relevant. With new technologies and methodologies emerging constantly (and often noisily), engineers
Understanding Containers for Embedded Developers: A Practical Introduction
A clear, no-jargon guide to containers—tailored for firmware engineers, not DevOps pros.
Part 2 of the “Practical Embedded Development, Containerized” series — Catch up on Part 1: Why Containers Matter You’ve seen the pitch: containers can fix the fragile, machine-tied build environments
Reproducible Embedded Environments with Containers
How containerization eliminates fragile setups and streamlines embedded workflows
Every embedded development team has one: the laptop where everything still works. It has the correct SDK, the toolchain is in precisely the right location, and firmware builds without error. No one is