Always-On Intelligence Without the Cloud: Why it matters more than you think
Much of the AI conversation today is still focused on scale: larger models, more data, more compute. Embedded systems live in a different reality, where constraints are unavoidable, and efficiency is the priority. What’s emerging is not a smaller version of cloud AI, but a different approach altogether, the one that values locality, predictability, resilience, and trust. Always-on intelligence without the cloud isn’t just a technical milestone. It’s a change in how we think about where intelligence belongs.
Designing for Humans: Viewing DFM and Industrialization Through the Lens of the Fitts MABA–MABA List
"Operator’s fault" and "Inadequate Training" are the phrases you typically hear when yield loss and stubborn manufacturing issues are discussed. While these factors may play a role, they rarely tell the whole story. This article views DFM and industrialization through the lens of a classic human factors principle; the Fitts MABA-MABA list, and highlights a critical, yet less-discussed factor: the lack of manufacturing-focused human factors considerations in product design. It explores practical examples like Proprioceptive Fatigue and Visual SNR, and shows how lots of chronic manufacturing issues are results of bad upstream design decisions, echoing the fact that in many cases, inspection exists not because it is inherently valuable, but because the design failed to encode correctness directly into the product or process. If you’ve ever wondered why "retraining" never seems to fix a recurring defect, this take on industrialization and manufacturing might explain why.
Project Log: Pixelblaze Christmas Lights
Festive fun and the hacker spirit combine in my janky attempt to adorn my house with addressable LEDs! In this post, I show you how I used a Pixelblaze and a cheap strip of WS2811 RGB LEDs (and not a little bit of hot glue and paper clips) to make a super cool set of Christmas lights.
Getting Started With Zephyr: DTS vs DTSI vs Overlays
Devicetrees can be daunting for traditional embedded software engineers that are new to Zephyr. In this blog post, I address these fears and show how navigating Devicetrees can be much easier if you understand that they represent the layered structure of the underlying hardware.
Breaking AES with an Oscilloscope
AES is a powerful encryption algorithm that protects some our most important secrets. But did you know that many devices are inadvertently leaking the value of their private key through their power pins?! Join me in this special preview of my upcoming workshop at the Embedded Systems Summit (14-16 October 2025 in San Jose, CA) as we explore the world of hardware security and discover just how easy it could be to break AES encryption with only an oscilloscope and some math.
Why Containers Are the Cheat Code for Embedded DevOps
Embedded software teams have long accepted toolchain setup as “part of the job,” but it’s a hidden productivity killer. Manual installs waste days, slow onboarding, and derail CI pipelines with “works on my machine” issues. While enterprise software solved this years ago with containerization, many embedded teams are still stuck replicating fragile environments. Containers offer a proven fix: a portable, reproducible build environment that works identically on laptops and CI servers. No brittle scripts, mismatched versions, or wasted time—just code that builds. IAR has gone further by delivering pre-built, performance-tuned Docker images for Arm, RISC-V, and Renesas architectures, ready for GitHub Actions and CI/CD pipelines. For regulated industries, containers simplify audits and compliance by enabling validation once and reuse everywhere. The result: faster onboarding, consistent builds, and stronger safety assurance. Containers aren’t a luxury—they’re the cheat code embedded teams need to modernize DevOps and compete effectively.
Getting Started With Zephyr: Using GDB To Fix a Driver Bug
In this blog post, I show how to use GDB to debug an issue encountered with a TSL2591 light sensor driver in Zephyr. The fix was submitted and successfully incorporated into The Zephyr Project.
Cracking the (embedded) Coding Interview
You never forget the day you land your first job. The thrill of receiving that call from your recruiter to tell you that you bagged your dream role! The relief when you finally see the offer letter you’ve been working towards for...
There's a State in This Machine!
An introduction to state machines and their implementation. Working from an intuitive definition of the state machine concept, we will start with a straightforward implementation then we evolve it into a more robust and engineered solution.
Introduction to Microcontrollers - Beginnings
Welcome to this Introduction to Microcontroller Programming tutorial series. If you are looking to learn the basics of embedded programming for microcontrollers (and a bit of embedded hardware design as well), I hope these tutorials will help you...
Lost Secrets of the H-Bridge, Part V: Gate Drives for Dummies
Learn the most important issues in power MOSFET and IGBT gate drives: - Transistor behavior during switching - Calculating turn-on and turn-off times - Passive components used between gate drive IC and transistor - Reverse recovery - Capacitively-coupled spurious turn-on - Factors that influence a good choice of turn-on and turn-off times - Gate drive supply voltage management - Bootstrap gate drives - Design issues impacting reliability
Creating a Hardware Abstraction Layer (HAL) in C
In my last post, C to C++: Using Abstract Interfaces to Create Hardware Abstraction Layers (HAL), I discussed how vital hardware abstraction layers are and how to use a C++ abstract interface to create them. You may be thinking, that’s great for C++, but I work in C! How do I create a HAL that can easily swap in and out different drivers? In today’s post, I will walk through exactly how to do that while using the I2C bus as an example.
3 Tips for Developing Embedded Systems with AI
Explore how to leverage AI in developing embedded systems with three practical tips, learn why documenting your workflows, supercharging testing and debugging, and adopting AI-assisted code generation can save time, reduce errors, and boost performance in your projects, and discover actionable insights to streamline development in resource-constrained environments, this blog explains how to prepare for AI integration while keeping the expertise of experienced engineers intact, offering real-world examples that show how even incremental AI adoption can revolutionize your development process, whether you’re new to AI or seeking to enhance existing practices, these strategies provide a clear roadmap to build smarter, more efficient embedded systems using AI.
Memory Mapped I/O in C
Interacting with memory mapped device registers is at the base of all embedded development. Let's explore what tools the C language - standard of the industry - provide the developer with to face this task.
You Don't Need an RTOS (Part 1)
In this first article, we'll compare our two contenders, the superloop and the RTOS. We'll define a few terms that help us describe exactly what functions a scheduler does and why an RTOS can help make certain systems work that wouldn't with a superloop. By the end of this article, you'll be able to: - Measure or calculate the deadlines, periods, and worst-case execution times for each task in your system, - Determine, using either a response-time analysis or a utilization test, if that set of tasks is schedulable using either a superloop or an RTOS, and - Assign RTOS task priorities optimally.
How to Build a Fixed-Point PI Controller That Just Works: Part I
This two-part article explains five tips to make a fixed-point PI controller work well. I am not going to talk about loop tuning -- there are hundreds of articles and books about that; any control-systems course will go over loop tuning enough to...
