If you've ever used a bottleneck calculator, you've probably seen a simple percentage telling you whether your CPU or GPU is holding your system back. But here’s the truth most people don’t realize: Bottlenecks are not fixed numbers — they are dynamic, workload-dependent behaviors. In this post, we’ll go beyond basic tools and break down how CPU and GPU bottlenecks actually work in real-world scen
Ages ago when CSS grids came with a repeat() function to simplify defining repetitive columns and rows, I was not alone in wishing for this function to be made generic and work in any context. After seeing Wes Bos on BlueSky wishing for this exact concept, specifically for repeating segments in a shape() definition, I chimed in with my +1's on making repeat() generic across CSS Without delay, @no
Every AI coding agent ships with the same problem: it knows syntax but not discipline. It can write a React component or debug a segfault, but it won't ask "did I verify this actually works?" before declaring victory. It won't split a 400-line diff into reviewable chunks. It won't check if the fix it's about to apply matches the root cause it claims to have found. I've spent the past six months fi
Originally published on AIdeazz — cross-posted here with canonical link. After twelve production deployments with construction contractors, I've learned that the gap between AI demos and jobsite reality is measured in broken workflows and angry foremen. The construction industry doesn't need another PDF parser that works perfectly on vendor spec sheets but chokes on coffee-stained RFIs. It needs s
The latest discourse I hear usually sounds something like, "I tried [insert agent flavor of the week] and it gave me garbage. AI is overrated." My response: "No. You asked your mechanic to build a house and forgot to provide blueprints." 🦄 The agent isn't the problem—the setup is. Here's the workflow that actually works. None of it is clever and all of it took me longer to learn than I'd care to
Most of the "I built an AI workflow" posts you see on here treat Claude like a fancy text box. Open chat, paste prompt, copy answer, ship. That's fine for solo dev tasks. It falls apart fast when you start building for someone else's business, especially one with strict confidentiality, compliance baggage, and a workflow that runs on documents. I've been building Claude-powered tooling for law fir
Well, I have been on GitHub since 2019, even before the lockdown. Back then, I did not properly use GitHub. I used to just make projects, upload the code, and share it with friends. But I never really understood the point of GitHub. I think I missed my tutorials on GitHub. But now, I’ll share some key ways to actually make the best out of it. Your GitHub profile is not just a bio page. It is your
Comparison: Haystack 2.0 vs. RAGatouille 0.3 for Building High-Accuracy RAG Pipelines for Developer Docs Retrieval-Augmented Generation (RAG) has become the standard for building LLM-powered tools that answer questions using private or domain-specific data. For developer documentation (dev docs) — which includes technical jargon, versioned APIs, code snippets, and structured reference material —