Cover for Defined Behavior by Dávid Juhász

Engineering the Hardware-Software Bridge. Structured thinking on systems, compilers, and technical leadership — with clarity, precision, and purpose.

Recent Posts

LLMs as Tools, Not Oracles: A Practical Framework for Effective AI Use

LLMs as Tools, Not Oracles: A Practical Framework for Effective AI Use

How to Leverage Large Language Models for Real Impact Without Falling for the Expert Illusion

Large Language Models (LLMs) are transforming how we work — if you know how to use them. The hype calls them near-experts, but the truth is simpler: they mimic expertise, not possess it. This post wil

The Brute-Force Illusion: Why Bigger AI Models Aren't Smarter

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

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)

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

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

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

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