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Querying layout results takes one line of code on iOS, Android, Qt, and Flutter. On the web, it requires triggering a full-page reflow. This isn't because...
Every ChatGPT message triggers a Cloudflare Turnstile program that runs silently in your browser. I decrypted 377 of these programs from network traffic and found something that goes beyond standard browser fingerprinting. The program checks 55 properties spanning three layers: your browser (GPU, screen, fonts), the Cloudflare network (your city, your IP, your region from edge headers), and the ChatGPT React application itself (__reactRouterContext, loaderData, clientBootstrap). Turnstile doesn
A complete guide to CLAUDE.md, custom commands, skills, agents, and permissions, and how to set them up properly.
As we’ve noted more than a few times before, for most of the 20th century AT&T’s Bell Labs was the premier industrial research lab in the US.
Teams-first Multi-agent orchestration for Claude Code - Yeachan-Heo/oh-my-claudecode
The Agent SDK gives you the same tools, agent loop, and context management that power Claude Code. It’s available as a CLI for scripts and CI/CD, or as Python and TypeScript packages for full programm
Subagents are specialized AI assistants that handle specific types of tasks. Each subagent runs in its own context window with a custom system prompt, specific tool access, and independent permissions
Each Claude Code session begins with a fresh context window. Two mechanisms carry knowledge across sessions: CLAUDE.md files: instructions you write to give Claude persistent context Auto memory: note
Give Claude Code a subconscious. Contribute to letta-ai/claude-subconscious development by creating an account on GitHub.
Since I was about 9 I've been puzzled by the apparent contradiction between being made of matter that behaves in a predictable way, and the feeling that I could choose to do whatever I wanted. At the time I had a self-interested motive for exploring the question. At that age (like most succeeding ages) I was always in trouble with the authorities, and it seemed to me that there might possibly be some way to get out of trouble by arguing that I wasn't responsible for my actions. I gradually lost hope of that, but the puzzle remained: How do you reconcile being a machine made of matter with the feeling that you're free to choose what you do?
In the science fiction books I read as a kid, reading had often been replaced by some more efficient way of acquiring knowledge. Mysterious "tapes" would load it into one's brain like a program being loaded into a computer.
lots of folks running expensive sandboxes but really all you need is a filesystem but really you don't even need a filesystem, you just need a filesystem API that frontends something like a database
As AI agents become more capable, developers are increasingly asking them to take on complex tasks requiring work that spans hours, or even days. However, getting agents to make consistent progress ac
Written by Nicholas Carlini, a researcher on our Safeguards team. I've been experimenting with a new approach to supervising language models that we’re calling "agent teams." With agent teams, multipl
IntroductionGood evaluations help teams ship AI agents more confidently. Without them, it’s easy to get stuck in reactive loops—catching issues only in production, where fixing one failure creates oth
Written by Tristan Hume, a lead on Anthropic's performance optimization team. Tristan designed—and redesigned—the take-home test that's helped Anthropic hire dozens of performance engineers.Evaluating
On friction, patience, and planting trees.
The big news this morning: Astral to join OpenAI (on the Astral blog) and OpenAI to acquire Astral (the OpenAI announcement). Astral are the company behind uv, ruff, and ty—three …
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Pike's rules 1 and 2 restate Tony Hoare's famous maxim "Premature optimization is the root of all evil."
PromptArmor report on a prompt injection attack chain in Snowflake's Cortex Agent, now fixed. The attack started when a Cortex user asked the agent to review a GitHub repository that …
If you collected lists of techniques for doing great work in a lot of different fields, what would the intersection look like? I decided to find out by making it.
One of the most important things I didn't understand about the world when I was a child is the degree to which the returns for performance are superlinear.
LLM的默认输出是consensus：正确但平庸。Deep Research其实是Wide Research。我们找到了一种系统性方法，用个人认知上下文把LLM从consensus里强行扯出来。一年实验，有控制变量证据。
I was a speaker last month at the Pragmatic Summit in San Francisco, where I participated in a fireside chat session about Agentic Engineering hosted by Eric Lui from Statsig. …
Here’s a thought experiment for pondering the effects AI might have on society: What if we invented teleportation?
[antirez](/user/antirez) 20 days ago. 54087 views. Anthropic recently released a blog post with the description of an experiment in which the last version of Opus, the 4.6, was instructed to write a
AI speeds up writing code, but accountability and review capacity still impose hard limits.
In my opinion, one of the best critiques of modern AI design comes from a 1992 talk by the researcher Mark Weiser where he ranted against “copilot” as a metaphor for AI.
written on February 09, 2026 Last year I first started thinking about what the future of programming languages might look like now that agentic engineering is a growing thing.
Ambassador visiting Renaissance Florence: “Where am I? None of this has existed for a thousand years."
A few months ago, users started reporting that Ghostty was consuming absurd amounts of memory, with one user reporting 37 GB after 10 days of uptime. Today, I'm happy to say the fix has been found and merged. This post is an overview of what caused the leak, a look at some of Ghostty's internals, and some brief descriptions of how we tracked it down.1
I've written a library called Tripwire1 for injecting failures into Zig programs for the express purpose of testing error handling paths. Outside of unit tests, it is completely optimized away and has zero runtime cost (space or time).
Over the past five months, our team has been running an experiment: building and shipping an internal beta of a software product with 0 lines of manually-written code.The product has internal daily us
My experience adopting any meaningful tool is that I've necessarily gone through three phases: (1) a period of inefficiency (2) a period of adequacy, then finally (3) a period of workflow and life-altering discovery.