1
Signal: A draft UX framework for LLM-based systems
专为LLM系统设计的UX框架草案，从交互体验角度优化AI应用设计
Article URL: https://github.com/hi-mundo/SIGNAL Comments URL: https://news.ycombinator.com/item?id=48746626 Points: 1 # Comments: 0
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The PM's Guide to Managing AI Debt
产品经理必看：AI债务如何像技术债务一样积压，一个“快速修复”竟让错误投诉飙升28%，教你系统化应对。
Article URL: https://newsletter.artofsaience.com/p/the-pms-guide-to-managing-ai-debt Comments URL: https://news.ycombinator.com/item?id=48699231 Point…
3
Comparing six Go cache designs
六种Go缓存设计横向对比，助你选对缓存方案
#607 — June 26, 2026 Read the Web Version Go Weekly Awesome Go: ~3000 Categorized Go Resources — Most curated ‘awesome’ collections go stale, but I’v…
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Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters
提出一种在LLM生成代码时同步执行以隐藏延迟的方法，大幅提升代码解释器效率。
arXiv:2604.00491v2 Announce Type: replace-cross Abstract: Current LLM systems are increasingly equipped with a code interpreter that executes generate…
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Show HN: Baserates.dev, memorize programmer napkin math
一个帮助程序员内化经典延迟数字的工具，基于Simon Eskildsen的napkin math方法。
When I began my career in programming I remember reading Jeff Dean's "Latency Numbers Every Programmer Should Know" [1], and getting inspired. Alas, i…
6
System Design: How Does a UPI Payment Reach the Chai Wala in Just Seconds?
揭秘UPI支付从付款到茶摊老板瞬间收款的全链路系统设计，技术干货满满。
Imagine this. You buy a ₹20 chai from your local chai wala. You open Paytm , scan his QR code, and make the payment. But here's the interesting part: …
7
NeuroClaw Technical Report
最新技术报告《NeuroClaw》公开，深入探讨该系统的核心设计与实现细节。
arXiv:2604.24696v3 Announce Type: replace Abstract: Agentic artificial intelligence systems promise to accelerate scientific workflows, but neuroimagi…
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Search Autocomplete Systems — Complete Guide
揭秘Google搜索自动补全系统如何承受每秒千万级请求与100毫秒硬性延迟
Section 1 — Problem Definition An autocomplete system predicts and suggests query completions as a user types, character by character. The goal is to …
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助力开发者快速适配，苹果发布 iOS / iPadOS / macOS 27 系统设计资源
苹果官方最新系统设计资源，含图标模板与适配指南，助力开发者快速适配iOS 27等新系统。
IT之家 6 月 12 日消息，苹果现已发布 iOS / iPadOS / macOS 27 系统的设计资源， 让开发者能够在新系统正式发布前做好 App 适配工作 。 苹果已经在开发者官网中提供三套系统的 UI Kit 文件，涵盖按钮、标题栏、列表、输入框、提示框等组件的界面资源， 目前仅提供 S…
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Piper: A Programmable Distributed Training System
Piper 让你用少量注解自定义分布式训练策略，真正实现策略与运行时的解耦。
arXiv:2606.11169v1 Announce Type: cross Abstract: Large-scale model training increasingly relies on composing multiple parallelism strategies, such as…
11
Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning
为Agentic RL量身打造的步骤级数据中间件，Claw-R1如何高效处理强化学习数据流？
arXiv:2606.09138v1 Announce Type: new Abstract: Agentic reinforcement learning (RL) has become an important post-training paradigm for turning LLMs fr…
12
苹果 macOS 27 为液态玻璃新增透明度滑块
macOS 27液态玻璃新增透明度滑块，用户可随心调节界面风格
IT之家 6 月 9 日消息，在今天（6 月 9 日）召开的 2026 年全球开发者大会（WWDC）上，苹果公司首席执行官蒂姆 · 库克（Tim Cook）上台主持，这是他第 15 次为 WWDC 开幕致辞， 也是最后一次作为苹果 CEO 身份主持，现场掌声雷动。 库克在以简短的视频开场后，库克把舞…
13
Structure of Every LLM Chat
深入解析LLM对话背后的核心架构，从系统设计到技术实现一网打尽
Article URL: https://arpitbhayani.me/blogs/structure-of-llm-chat/ Comments URL: https://news.ycombinator.com/item?id=48382688 Points: 1 # Comments: 0
14
Toward a Modular Architecture for Embedded AI Agent Systems at the Edge
边缘计算与AI代理融合，模块化架构设计助力嵌入式系统高效部署
arXiv:2606.02862v1 Announce Type: new Abstract: The rise of Large Language Models (LLMs) has enabled agentic AI capable of complex reasoning and tool …
15
Agent libOS: A Library-OS-Inspired Runtime for Long-Running, Capability-Controlled LLM Agents
受操作系统Library-OS启发，为LLM Agent量身打造的新型运行时，兼顾长时运行与细粒度能力控制，性能与安全两手抓。
arXiv:2606.03895v1 Announce Type: cross Abstract: Large language model (LLM) agents are evolving from request-response assistants into long-running so…
16
Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution
多智能体AI预言机系统为预测市场提供可靠决议方案，设计思路与评估结果值得关注
arXiv:2605.30802v1 Announce Type: cross Abstract: Prediction markets aggregate collective intelligence to forecast uncertain events, but their utility…
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VikingMem: A Memory Base Management System for Stateful LLM-based Applications
专为有状态LLM应用设计的记忆基础管理系统，VLDB26接收的高质量学术论文
arXiv:2605.29640v1 Announce Type: new Abstract: Large Language Models have revolutionized interactive applications; however, their finite context wind…
18
Building powerful systems with limited lifespans?
HN 热帖探讨如何构建带有内置寿命限制的强大系统，启发开发者重新思考系统迭代与知识更新
It seems that we focus a lot on making systems that we can correct or are right from the start. Has there been much focus on creating systems that hav…
19
Most RAG Problems Are R(etrieval) Problems
揭秘RAG系统：当文档数从500飙升到3万，检索质量崩塌——问题根源在检索，而非生成。
Most RAG blog posts read like product brochures. After building a few systems over the last months and reading way too many production post-mortems, I…
20
LLM System Design Benchmark
LLM系统设计能力大比拼：Claude Sonnet 4.6与DeepSeek V4 Pro谁更强？81份对话评分揭晓。
Article URL: https://nqbao.com/llm-system-design/ Comments URL: https://news.ycombinator.com/item?id=48221021 Points: 3 # Comments: 0