Recent Posts

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

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.