Software
Modern backend systems rarely fail because of a single line of bad code. More often, instability emerges when pressure moves through the system without clear boundaries. A sudden API spike increases retries, retries consume worker capacity, workers enqueue faster than downstream services can process, and queues quietly accumulate risk. Latency
Software
Modern cloud systems are dangerously good at hiding their limits. Auto-scaling dashboards stay green. Serverless promises "infinite scale." Latency looks fine in staging. And then one day, a feature gets shared. A reel goes viral. A push notification lands at the wrong time. That's usually when
Hardware
Introduction: More Than Just a Connector USB-C has become the default connector for modern electronics, but in embedded systems, it is rarely “just a connector.” It is a power interface, a data interface, a mechanical stress point, an ESD entry path, and often the first thing users interact with—long
AI
Machine learning promises automation at scale, but building reliable audio classification systems reveals a persistent challenge: ground truth validation. When we set out to build an edge-deployed dog sound classifier, we explored every path to automated labeling—and each one led back to the same conclusion: human perception isn'
Software
Every social application eventually hits the "Feed Scaling Wall." It usually happens when your first power user follows their 500th account, and your once-snappy SELECT * query starts taking 200ms. Then 500ms. Then timeouts. To preempt this bottleneck at Hoomanely, we architected our system for scale from Day One.
Hardware
Introduction: When End Users Have Four Legs At Hoomanely, designing technology for pets presents unique engineering challenges that consumer electronics rarely encounter. Pets interact instinctively—through touch, taste, and repetition—without understanding operational boundaries or tolerating discomfort. When we developed EverBowl, every material decision was driven by a fundamental principle:
Firmware
Most performance problems we’ve encountered in embedded systems didn’t come from weak hardware or poor algorithms. They came from decisions that felt harmless at the time extra logs during bring-up, convenient abstractions, background helpers added “just for safety.” None of these broke the system immediately. Instead, they slowly
Hardware
Introduction: Hardware Meets Software Workflow Hardware design projects generate a wide range of files — schematics, PCB layouts, component libraries, manufacturing outputs, and documentation. Over the course of development, these files go through countless revisions as designs move from prototyping to testing and finally to production. Without a structured version control
Firmware
Introduction Ever wondered what happens in those crucial milliseconds between powering on your smart device and seeing it spring to life? The journey from a cold hardware reset to a running application is one of the most fundamental processes in embedded systems—yet it remains invisible to most users. Unlike
AI
Introduction Building machine learning systems for the edge sounds exciting—until you realize that most real-world edge problems begin with a simple, uncomfortable truth: you don’t have labeled data. Not enough of it. Not the right kind. And certainly not data that reflects the messy environments your devices will