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An LLM-written kernel benchmarked 38% faster on a microbench. Here is what kernel-level validation showed it actually did at runtime. TL;DR Multi-agent LLMs are now writing CUDA kernels
The loop I didn't notice closing Seven weeks ago I started using AI for work. Two weeks after that, I published an article. Seven weeks after that — today — the article is one of sixteen, a
There is a special kind of productivity theater that happens during a developer job search. You wake up motivated, open LinkedIn, and apply to 27 positions before breakfast. You press the Easy Apply b
AI agents are getting smarter fast. They can reason through tasks, manage workflows, call tools, and automate decisions across applications. But as these systems become more capable, one challenge b
Agentic AI coding is evolving quickly, and it can be difficult to separate practical implementation advice from marketing hype. For developers looking to build real-world workflows with AI coding assi
📚 This is Part 1 (Opening) of the UtlKit Tech Series — Next: [Architecture & Trade-offs →] As a frontend developer, I've used countless online tools. And almost all of them suck: Sign-up
Take Aways Performance and Scalability: Pinecone is a managed machine-learning database that provides exceptional levels of performance and scaling capability due to its cloud-based design.
Every cron library I looked at pulled in a pile of dependencies for what is, fundamentally, a string-to-schedule conversion. So I decided to write one from scratch — and then kept going until I had a
ChatGPT Always Says "Great!", But I Remember Nothing — I Built a Real Interview Teacher with Claude Code A Universal Pain Point When you use ChatGPT / Claude to prepare for inter
Using Copilot feels a lot like driving a Tesla. It might be quietly eroding your ability to code without it. A couple of months ago, I realized something that made me feel uneasy. I was on a plane, d
Need Help Getting Your Automation Scripts to Run? Hey community, Writing a Python script to automate a repetitive task is a great feeling—until you try to execute it and the console throws
If your app exposes an AI endpoint, your most expensive infrastructure might now be the easiest one to abuse. A normal HTTP request is cheap. A single request that triggers a frontier model, a long a
DaloyJS Is the Latest Modern Enterprise TypeScript Framework, and It Has Your Back on Security I want to tell you something that took me years to learn, so you can learn it on a Tuesday aft
My baby-name site started life on ASP.NET with a MSSQL backend. It worked. The reason I rewrote the whole thing in PHP + MySQL had nothing to do with the code being bad — it was everything around the
One small feature in the Next.js App Router that I think more developers should use is notFound(). A lot of codebases still handle missing data like this: It works, but you're manually handling so
> TL;DR — I run four different domains off one Next.js codebase: a marketing site at pagestrike.com, an authenticated app at app.pagestrike.com, a public publishing domain at pagestrike.app, and custo
Reading Claude's Mind: Anthropic's Natural Language Autoencoders Open a New Window Into Agent Alignment What if you could read an AI agent's thoughts — not just what it says, but what it th
I have been thinking a lot about coding agents lately. Not really about whether they can write good code, because usually they can, sometimes they can't. That part is obvious. But the risk is shiftin
description: Three production-ready templates — FastAPI backend, React 19 web frontend, and Expo mobile app — pre-wired to talk to each other. Auth, Docker, type-safe API clients, RBAC, and CI/CD incl
A while back I open-sourced a macOS desktop widget for the FIFA World Cup 2026. The question I got most was "when Windows?" — so I ported it. Here's what changed moving from macOS/Übersicht to Windows