WooCommerce sits underneath a large share of small-business e-commerce on the web. It is free, runs on top of WordPress, and is flexible enough that a hobbyist can launch a store in an afternoon. That same flexibility is also why WooCommerce stores show up in ADA demand letters and EAA complaints out of proportion to their share of the market. The owner picked a theme that looked nice, installed f
The first time a prospect asks "Can you send us your VPAT?" most B2B founders react one of two ways. Either they panic and forward the email to a developer, or they reply "What's a VPAT?" and lose the deal to a competitor who already had one ready. Neither is necessary. A VPAT is a template, not a certification, and any company can produce one if they understand the document, do the underlying acc
Keyboard Shortcuts in Firefox Extensions: A Complete Guide Good keyboard support separates a great extension from a mediocre one. Here's everything you need to know. For global keyboard shortcuts (accessible even when the extension isn't focused): { "commands": { "_execute_action": { "suggested_key": { "default": "Ctrl+Shift+W" }, "description": "Open Weather & Cl
Dark Mode in Firefox Extensions: Respecting System Preferences Firefox users who prefer dark mode shouldn't have to manually toggle it in every extension. Here's how to automatically respect the system preference. /* Default: light mode */ :root { --bg: #ffffff; --text: #1a1a1a; --card-bg: #f5f5f5; --border: #e0e0e0; } /* Auto dark mode from system */ @media (prefers-color-scheme: dark)
Hello Developers! 👋 Most developers today pick a side: Let’s talk about combining C++ and JavaScript—the ultimate hybrid stack for high-performance applications. 👇 1. The Core Engine (C++) ⚙️ 2. The Browser Bridge (WebAssembly) 🌉 3. The Cinematic Experience (Vanilla JS + UI/UX) ✨ The Takeaway 🎯 Keep optimizing, keep building! 💻✨ ~ Ujjwal Sharma | @stackbyujjwal About the Author 👨💻 Ujjwal
I built a Vamana-based vector search engine in C++ called sembed-engine. Recently I made a pull request that sped up queries by 16x and builds by 9x. The algorithm stayed exactly the same. The recall stayed at 1.0. The number of visited nodes did not change. The speedup came from data layout. The original code stored vectors as separate objects pointed to by shared_ptr: struct Record { int64_t
The first time I implemented Vamana from the DiskANN paper, my approximate nearest neighbor index was slower than brute force. On tiny test fixtures, brute force took 0.27 ms per query. My Vamana implementation took 22.98 ms. That sounds absurd. ANN exists to skip work. The problem was not the algorithm. It was how I mapped the paper's abstractions to actual data structures. The DiskANN pseudocode
Hash tables feel like the default choice for membership tests. std::unordered_set promises average O(1) lookup, so we reach for it automatically. In performance-sensitive C++ code, that habit can cost you an order of magnitude. I ran into this while building a Vamana graph index for approximate nearest neighbor search. The algorithm needs to track visited nodes. Node ids are dense integers, and th