新通教育用三年时间，把AI从口号变成全员参与的“数字员工”体系，传统业务也能跑出增长新速度。
新通教育创始人麻亚炜坦诚分享了过去五年的转型历程——从数字化基建到全员AI Must，从AI in All到AI Native新业务。她的实践证明：传统企业拥抱AI，最难的不是技术，而是让战略从董事会走到一线。 麻亚炜将AI转型划分为四个递进阶段： 第一阶段（2021-2022）：数字化基建 完成底…
AI编码代理沙箱怎么做才不削弱能力？看这篇避开Docker常见坑，给出真正可行的安全边界方案
The Problem: Your AI Agent Has Root A few months back I was helping a team set up a self-hosted AI coding agent. Standard setup — an LLM with tool acc…
Git新手的实用入门指南，教你分支管理、提交规范等核心最佳实践，避开常见坑。
Git and GitHub are essential tools for software development, yet many beginners avoid using them properly due to concerns about making mistakes. They …
用AI代理团队解决多仓库微服务变更的协调难题，实战案例拆解。
A walkthrough of RepoOrch — an open-source Claude Code plugin that turns a multi-repo workspace into a deliberating team of AI specialists, with peer-…
20年技术老兵现身说法：别沉迷AI演示效果，专注构建能真正交付的系统。
Every LinkedIn post about AI sounds the same. "Excited to leverage cutting-edge LLMs to transform your business." Cool. What does that even mean? I'll…
LLM对任务时间的估算为何总比实际长？可能源于训练数据中的人类估算偏差，引发网友热议。
I have my suspicion: they estimate how long people would have taken to implement some feature, becasue they were trained on such data. I consistently …
大华星汉大模型系列让智能体从“看得清”到“自主认知”，展现CV×AI Agent在行业场景中的落地新范式。
让智能体“看见”世界，不是给它装上摄像头那么简单。当CV遇上AI Agent，乘数效应正在发生。AI Agent不等于Chatbot，真正的价值在于静默看护与自主决策。 AI进入产业腹地仍面临两大鸿沟：视觉认知与行业的理解。为此，大华股份构建了星汉大模型系列——V系列视觉大模型让系统“看得懂”物理世…
当大健康产业遇上AI，最大的难题不是技术够不够强，而是场景够不够深、信任够不够厚。百度健康用六年时间给出了自己的答案：从单点智能走向全局协同，从技术赋能走向价值创造。 中国慢病人群超5亿，每千人执业医生数却远低于发达国家——供需矛盾之下，AI成为医疗健康供给侧改革的新基建。百度健康总经理杨明璐结合百…
实时语音AI的延迟生死线：从Go到Rust的迁移如何压缩毫秒级时延，守住250ms实时交互边界。
In building Vivik, an execution-grade telephony AI engine, we faced a brutal constraint: the human conversational loop. In psychoacoustics, a delay un…
Tailwind团队亲述用Next.js和MDX搭建博客的技术实践与决策思考
One of the things we believe as a team is that everything we make should be sealed with a blog post. Forcing ourselves to write up a short announcemen…
AI Agent设计核心：从2-3个工具的小循环起步，用限制迭代观察轨迹，否则只是通用LLM。
TL;DR The model matters, but tools matter at least as much. Weak tool descriptions are one of the easiest agent failures to diagnose, and one of the m…
如何避免同事用AI生成垃圾PR评论？来自Hacker News的热议，探讨LLM在代码审查中的坑与最佳实践。
Title. I finally got annoyed enough at work with a colleague who posted an 11 point list they clearly hadn't read or reviewed as a comment on my PR th…
Cloudflare分享大规模部署AI代码审查的实践经验，从瓶颈到解决方案，技术细节与工程思考兼具。
Learn about how we built a CI-native AI code reviewer using OpenCode that helps our engineers ship better, safer code.
31万行代码AI重构实战，关键在于用Agent评测思路对齐人机共识，三个经验直击AI Coding管理痛点。
当 90% 以上代码由 AI 生成，决定系统走向的不是谁写得更快，而是约束 AI 的能力。没有统一规范，AI 只会成倍放大混乱。本文基于 31 万行代码重构实践，分享我们如何用 Agent 评测思路管理 AI Coding——通过技术债梳理、建设Rule、重构 SOP 和 Pre-PR 机制，把重构…
量化分析LLM如何改变科学论文写作与阅读，数据揭示学术交流新趋势
arXiv:2605.19936v1 Announce Type: new Abstract: Has the style of scientific communication changed due to the growing use of large language models in t…
探讨大型单体仓库如何适应AI工具，核心是让代码更规范、可理解，实现AI就绪等于人类就绪。
The org is pushing for AI-readiness! We run a fairly large monorepo, part of that is a shared web-platform. Our team is struggling with the inbound co…
NVIDIA团队如何利用Codex与GPT-5.5加速生产系统部署和转化研究想法。
Teams use Codex with GPT-5.5 to ship production systems and turn research ideas into runnable experiments.
一本教你优雅命名张量维度的免费书，从根源减少维度错误与思维混乱
Article URL: https://einlang.github.io/einlang/book/ Comments URL: https://news.ycombinator.com/item?id=48180820 Points: 1 # Comments: 1
AI hype鼓吹编程已平民化，但大规模运行软件仍需深厚工程功底，原型开发≠生产交付。
Article URL: https://stackoverflow.blog/2026/05/18/what-the-ai-hype-gets-wrong/ Comments URL: https://news.ycombinator.com/item?id=48181771 Points: 1 …
官方揭秘Claude Code在百万行级代码库中的实战经验与最佳实践，企业团队值得一读。
Article URL: https://claude.com/blog/how-claude-code-works-in-large-codebases-best-practices-and-where-to-start Comments URL: https://news.ycombinator…