I’ve spent the past year benchmarking vector databases as part of larger semantic search projects, and one thing became quickly clear: choosing a vector database is less about raw recall numbers and more about trade-offs between usability, latency, and price. In this article I’ll walk you through the practical differences I’ve seen between the most common options — Pinecone, Milvus,...
I’ve spent the last few years building and evaluating machine learning systems for real teams, so when customers ask...
I’ve spent years testing gadgets and poking at the settings screens most people never touch. Smart home gear can make...
I’ve been watching WebAssembly (Wasm) evolve from an intriguing runtime curiosity into a practical tool I reach for...
I started auditing third-party npm packages the hard way: by getting burned — a dependency pulled in a small,...
I’ve helped small engineering teams move from ad-hoc VPNs and open security groups to a zero-trust networking model...
I test AI products for a living, and one thing that never stops surprising me is how often "explainability" is treated...
I’ve been watching WebAssembly (Wasm) evolve from an intriguing runtime curiosity into a practical tool I reach for when building browser-based apps. Over the last few years I’ve ported libraries, benchmarked compute-heavy tasks, and explored the developer experience. In this article I want to...
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I started auditing third-party npm packages the hard way: by getting burned — a dependency pulled in a small, obfuscated postinstall script that sent environment variables back to a server. Since then I’ve developed a workflow that blends automated tools, quick manual checks, and safe testing...
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I’ve helped small engineering teams move from ad-hoc VPNs and open security groups to a zero-trust networking model that actually scales with a remote-first culture. In practice, zero trust isn’t a single product you buy — it’s a set of principles and a roadmap you follow: never trust,...
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I test AI products for a living, and one thing that never stops surprising me is how often "explainability" is treated as either a checkbox or a vague marketing line. Reviewers will praise a model for being "transparent" or criticize it for being a "black box" without giving readers concrete...
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I’ve spent years watching teams drown in time-series telemetry: terabytes of sensor data streaming into lakes, dashboards overflowing with metrics, and engineers still caught off guard when a pump or motor fails. The irony is that more data rarely equals better predictions — what matters is the...
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I’ve spent years helping teams choose and deploy security controls that actually get used — not just tick boxes for compliance. When it comes to multifactor authentication (MFA), the biggest failure isn’t cryptography or standards: it’s human behavior. Deploy the most secure method in the...
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I’ve spent years testing and explaining how software actually behaves in the wild, and bias in AI-powered hiring tools is one of those topics where nuance matters. On paper, an automated resume screener or an interview-sentiment model promises efficiency and consistency. In practice, those same...
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I’ve been obsessed with the idea that real intelligence doesn't have to live in the cloud. Watching devices that run for years on coin cells or tiny LiIon packs do genuinely useful, low-latency inference has felt like a slow-moving revolution for the last few years. TinyML — machine learning...
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I’ve been tracking the slow, steady shift toward passwordless authentication for years now — testing products, probing security claims, and watching organizations wrestle with the trade-offs. Passwordless is no longer a futuristic checkbox; for many enterprises it’s a practical way to reduce...
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I’ve spent years testing AI tools, writing about their quirks, and helping teams pick the right tech that actually fits their day-to-day work. Choosing an AI assistant for your team isn’t just about picking the model with the highest benchmark — it’s about matching capabilities to workflow,...
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