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Im attending Manifest 2026! Hi everyone! Im planning to attend Manifest 2026! A festival for predictions, and markets thereof. (June 12–14 · Berkeley) Manifest started in 2023 as a festival about prediction markets and forecasting; it has since become an annual excuse to treat curiosity as a serious
Your Website Is Invisible to AI Open ChatGPT. Ask it: "What's a good Threads automation tool?" It gives you an answer. But whose website does it cite? Not yours. Even if your product is the best on the market, even if your blog has the most detailed tutorials — if AI search engines can't parse your
framework-http-request-headers.md Comprehensive reference for the eleven HTTP request headers most relevant to server side decisions about how to respond, route, log, throttle, or filter: User-Agent (identity, never to be trusted alone), Accept (content type negotiation), Accept-Language (language n
Why a proved theorem still needs reproducible claim custody On May 20, 2026, OpenAI announced that an internal reasoning model had produced a counterexample to the Erdős planar unit-distance conjecture. The problem is easy to state: given $n$ points in the plane, how many pairs of points can be exac
Published: May 26, 2026 🇺🇸 Independence Day is Coming America will celebrate independence on July 4. I'll celebrate something else: the Alpha launch of OpenDev. Zero clients. One laptop. One supporter. One mission. This is the story of how I'm building a Linux revolution from my laptop. No funding
I have completed all the labs except Week 2. When I open it, it shows “lab hours exceeded.” When I click Start, the AWS status turns yellow and red. I tried many times but the same issue persists and the lab is not launching. https://drive.google.com/file/d/1TguCd47EWA5xM-j5JbW4K_pMFRqSav-e/view?usp
Part 1 showed how to evaluate binary classification thresholds in Python. This part asks the harder enterprise question: What happens when that threshold becomes a production decision policy? A model score is not the business outcome. A threshold is not just a technical parameter. In production, a t
The feature worked: Code was working. This is something we deal with constantly at BrainPack. Building the feature is usually the easy part. Making it reliable inside existing enterprise workflows is the real work.
You're reviewing your AWS bill. $14,000 this month — up from the usual $3,200. You trace it back to a Copilot session from last Tuesday where a dev asked the agent to "clean up old EC2 instances." It terminated 47 instances across three regions, including one that was handling a critical payment rec
Every time I started a new agent session, I was re-explaining the same things. The architecture rules. The patterns to avoid. The decisions I'd already made. The approaches that already failed. The agent would forget everything and I'd be back to square one. My first instinct was to write better pro
LLM Agents Are Now Finding Zero-Days: How AI is Autonomously Rewriting the Rules of Vulnerability Research 💡 TL;DR: LLM agents like Claude Mythos Preview and GPT-5.5 are now autonomously hunting zero-days at massive scale — 10,000+ critical CVEs found in weeks. This post breaks down the agentic har
Five years of React. Hundreds of components. Dozens of refactors. And the lesson I keep re-learning? How you structure your components matters more than what's inside them. In this post, I'll walk through four patterns I use regularly in production today — with real examples, their trade-offs, and w
We browse websites every day, and some feel really nice to use, while others technically work perfectly fine but still start to feel frustrating after a few seconds. It’s usually not because the better website has fancy animations or uses the latest frontend framework. It just feels easier to use. T
Cursor 3 ships parallel AI agents. Here is the multi-agent workflow that actually works. On April 2, 2026, Cursor shipped version 3.0 and called it "a unified workspace for building software with agents." The headline feature is the Agents Window: a sidebar that shows every active agent session, loc
BoxAgnts' middle layer — the Agent Toolbox — is the brain and hands of the system. It consists of six core modules responsible for three things: understanding your intent, dispatching the right tools, and feeding back execution results. This article takes a deep dive into the architectural design an
Princeton researchers just released an open-source AI agent that autonomously fixes GitHub issues — and it's reshaping how developers think about automated software engineering. SWE-agent, developed by researchers from Princeton University and Stanford University, has earned 19,310 GitHub Stars sinc
Princeton 大学的研究团队发布了一个开源 AI Agent，能自主修复 GitHub Issues——但它真正厉害的地方，大部分人根本不知道。 SWE-agent 由 Princeton 大学和 Stanford 大学的研究人员联合开发，自 NeurIPS 2024 亮相以来已斩获 19,310 个 GitHub Stars。项目最初在真实 GitHub Issues 上的修复率仅为 12%，但 1.0 版本配合 Claude 3.7 在 SWE-bench 基准上达到了业界领先水平。以下是你可能错过的隐藏玩法。 2026 年，AI 编程助手已经全面普及。GitHub Copilot、
Quick Recap In the previous article, we introduced priority-based and layered schedulers, solving the problem of “which tasks should run first.” However, real-world applications introduce another challenge: long-running tasks can still block the main thread. To keep applications responsive, a schedu
A Swiss Army knife is a terrible knife. It's a terrible screwdriver, a terrible bottle opener, and a terrible saw. The only thing a Swiss Army knife is genuinely good at is being small enough to carry around, and the reality of "small enough to carry" is not a strong engineering thesis. But that's e
Introduction The Content Pipeline is the official way to handle assets in MonoGame. However, there has long been a significant group of developers in the community who dislike it and prefer to load assets in their "raw" form. This approach is especially popular in the FNA community (another XNA 4 im
