AI demands more engineering discipline. Not less
If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.
If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.
If coding agents make native ports cheap, why does Anthropic still ship Claude as an Electron app? Because code is cheap but maintenance isn’t.
Yogesh Kumar's personal website
Wiz Red Agent finds its way into Snowflake's internal Jira through a flaw in a GitHub Copilot–Assisted PR.
The one where I pack up my bags.
Swarms of Claude and GPT agents in Minecraft and Mindustry.
My head has been spinning after getting a spreadsheet roughly a week ago. Before we dive into my dirty laundry, let’s state the obvious: millions of people have a vague sense that AI is changing things. And LLMs sure are convenient for getting answers quickly. My team and I use Claude and other tools daily. […]
Over the weekend Ars Technica retracted an article because the AI a writer used hallucinated quotes from an open source library maintainer. The irony here is the maintainer in question, Scott Shambaugh, was harassed by someone's AI agent over not merging its AI slop code. It's likely the bot was running through…
Arm introduces the Arm AGI CPU to power agentic AI infrastructure with rack-scale performance, efficiency and scalable compute for next-generation data centers.
AI-assisted coding has become the norm and with tools like Cursor, GitHub Copilot, Claude Code, Codex, we are increasingly letting models touch our code. If you have used any of these tools in the past year, you have probably experienced something like this: you ask the model to fix a simple bug (perhaps a single…
A look at what current models can build, where they fail, and how EEBench tests the electronics in simulation.
Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
Lessons I learned while building my own coding agent from scratch.
A practical OpenSCAD LLM benchmark comparing Codex 5.5 High, Claude Sonnet, Claude Opus, Cursor Composer, Google Antigravity, and ModelRift on a detailed Pantheon model.
Why AI can make software development faster without replacing the judgment and understanding needed to build consistently good software.
Why frontier AI has broken the open CTF format, hollowed out the scoreboard, and made competitive CTF performance a weaker signal than it used to be.
AI-assisted incident response can lower MTTR while leaving engineers less prepared for the complex incidents automation cannot solve.
Claude Opus 5.5 vs GPT-6 Astra one-shot Invisible Cities by Italo Calvino in Three.js: AI design, UX, data visualization and explorable explanations.
A groundbreaking study led by Stanford Law School Professor Julian Nyarko reveals that law professors overwhelmingly prefer AI-generated answers to st
Kimi K2.7 Code, an open-weight model, is now generally available in GitHub Copilot. This is the first open-weight model offered as a selectable option in the Copilot model picker, giving…
Open-weight models are becoming the foundation for the next AI ecosystem. The US should compete in it, not wall itself off.
Today we’re releasing Laguna S 2.1, a significant step forward in our development of models that pursue longer horizon work and make effective use of reasoning.
The first time I tried to use an LLM to speed up coding was in mid-2025. I was not impressed. I was working on libadbmdns back then, an mDNS implementation in Rust. The code produced would not even compile.
Technical report for Krea 2 (K2), our open-weights text-to-image foundation models for creative exploration. Release includes K2 Raw and K2 Turbo open weights.
Almost a decade ago, I released a hackintosh guide on running macOS 10.14 through a VM with an x86 host. A "Hackintosh" is the feat of running macOS on non-Apple hardware, and has a history dating back to the late 1980s. At the time KVM and PCI
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
Funny how quiet everyone got.
Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.
We replaced expensive sandboxes with ChromaFs, a virtual filesystem over Chroma, to give our docs AI assistant the ability to explore documentation like a developer would.