1. Writing Code Was Never the Bottleneck (ordep.dev)
LLMs make it easier to write code, but understanding, reviewing, and maintaining it still takes time, trust, and good judgment.
45 篇热帖
LLMs make it easier to write code, but understanding, reviewing, and maintaining it still takes time, trust, and good judgment.
Context Engineering is the new skill in AI. It is about providing the right information and tools, in the right format, at the right time.
Find more information on using WiFi Motion in the Xfinity app.
Spegel is a proof-of-concept terminal web browser that feeds HTML through an LLM before serving it as markdown in the terminal.
Reference for Claude Code hook events, configuration schema, JSON input/output formats, exit codes, async hooks, HTTP hooks, prompt hooks, and MCP tool hooks.
See my follow-up article: “A Fast, Growable Array With Stable Pointers in C” I write type safe generic data structures in C using a technique that I haven’t seen elsewhere1. It uses unions to associate type information with a generic data structure, but we’ll get to that. My approach works for any type of data structure: maps, arrays, binary trees… but for this article I illustrate the ideas by implementing a basic linked list.
Pay per crawl is a new feature to allow content creators to charge AI crawlers for access to their content.
A free tax tool based on IRS Direct File. Contribute to openfiletax/openfile development by creating an account on GitHub.
There are a whole bunch of popular interview questions that can be solved in one of two ways: Either using common data structures and algorithms in a sensible manner, or by using some properties of...
Abstract page for arXiv paper 2506.17732: Feasibility study of a mission to Sedna -- Nuclear propulsion and advanced solar sailing concepts
Apple's anti-competitive App Store policies are gouging consumers, enabling censorship, and harming privacy-focused developers. We're joining a lawsuit to restore internet freedom.
A comprehensive guide to LLM evals, drawn from questions asked in our popular course on AI Evals. Covers everything from basic to advanced topics.
Fresh AI generated startup ideas from the current Hacker News front page. Powered by Claude AI.
On making use of large thinking models.
A former FBI agent traveled to Louisiana to ask a hired killer about a murder that haunted him. Then Larry Thompson started talking about a different case altogether.
ASCII Moon - view & cycle through The Moon's phases - rendered in ASCII art.
这篇名为《Alice's Adventures in a Differentiable Wonderland》的论文是一篇关于可微编程与神经网络的入门导论。其核心内容可概括如下:
目的与背景:本文旨在为像爱丽丝这样的初学者介绍可微编程这一迷人的领域。神经网络作为大型语言模型、语音转录、分子发现、机器人等众多应用的基础,其本质是可微原语的组合。学习神经网络即是学习如何与这些模型交互和进行编程,即可微编程。
主要内容与结构:本文以直观、自成一体的方式介绍关键技术,旨在弥合理论与代码(特别是PyTorch和JAX)之间的差距。主要内容涵盖:
定位与目标读者:本文定位为一份入门读物,专注于提供直观解释和实用的设计技术知识,而非深入复杂的数学理论。它旨在为初学者搭建从基础知识通往理解高级模型的桥梁。
Microsoft's go-to password manager won't be the same after Aug. 1.
PlanetScale now supports Postgres
Abstract page for arXiv paper 2506.21654: Experience converting a large mathematical software package written in C++ to C++20 modules
Learn about JTAG and EUD
I've always been told that caching is a tool to make software faster. That, given some careful considerations to consistency, caching makes it so that when...
The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened.
Inflammation may not be a universal human experience, but a byproduct of industrialized lifestyles.
Canonical confirm a technical shift for Ubuntu on RISC-V. With Ubuntu 25.10, it will only support hardware meeting the RVA23 profile spec.
Comprehensive analysis of email startup failures. Why most email companies fail, burn millions in VC funding, and shut down. Learn what actually works.
Daniel Xu has loved trains since he was a child. In a surprising twist of fate, he now lives above an extensive hobby train network set.
上下文工程概述
上下文工程是为AI智能体(Agent)在每个决策步骤中精确管理上下文窗口信息的艺术与科学。类似操作系统管理CPU的RAM,上下文工程负责为大语言模型(LLM)筛选并组织其有限上下文窗口中的信息。无效的上下文管理会导致性能下降、成本增加等问题。
当前针对智能体的上下文工程主要可分为四大策略:写入、选择、压缩和隔离。
1. 写入上下文 指将信息保存在上下文窗口之外,供智能体在任务中使用。
2. 选择上下文 指将相关信息拉入上下文窗口,以协助任务完成。
CLAUDE.md)作为始终加载的上下文。3. 压缩上下文 旨在保留任务所需的最少token。
4. 隔离上下文 将上下文分割以优化智能体性能。
messages)需暴露给LLM,其他字段可存储选择性使用的信息。总结 上下文工程是构建高效智能体的核心。其四大策略——写入、选择、压缩、隔离——提供了系统性的方法来管理有限的上下文窗口,确保智能体在复杂、长程任务中保持性能并控制成本。这些模式仍在发展中,但已在当前主流智能体系统中得到广泛应用。
Abstract page for arXiv paper 2506.02153: Small Language Models are the Future of Agentic AI
该项目是一个专为跨国迁移Stripe账户设计的自动化工具,旨在帮助企业无缝地将Stripe业务迁移到另一个国家,确保运营不中断。该工具可自动转移关键数据,包括客户、订阅、产品、优惠券和支付方式。
What offers the convenience of a cassette tape, and the sound quality of a CD? Digital Audio Tape (DAT) does. So why wasn’t it more successful?
Last year, I discovered that the Kosinski compression format is actually LZEXE, which was used for compressing DOS executables back in the 90s and the late 80s. Its developer catalogues three versions on his website: v0.90, v0.91, and v0.91e. While only binaries of v0.91 and v0.91e can be found on the website, v0.90 can be…