Agentic report generation is going to be a headline use case among every enterprise this year, and Deep Research by OpenAI proves it. General tools like deep research capabilities will be enough to satisfy general information requests. But true adoption in the enterprise will

这不比你们搞公众号强多了？

真的太有创意了💥 动态 Prompt 渲染效果⚡️ 在输入 Prompt 的同时渲染 GenUX 并根据输入变化更新 UX 变化👇

几个cursor/windsurf 维护开发大型项目的小技巧： 1，因为成熟项目一般都会封装分层，代码依赖比较多，在正式开发之前，要先让cursor/windsurf熟悉代码，如何熟悉呢，让他读代码，生成一份markdown文档，包括：项目整体架构概览，代码文件依赖关系，功能模块调用逻辑，关键代码文件定位索引等等。

Using Cursor well = fast, clean code. Using it wrong = AI spaghetti you’ll be cleaning up all week. Here’s how to actually use it right: 1. Set 5-10 clear project rules upfront so Cursor knows your structure and constraints. Try /generate rules for existing codebases. 2. Be

很多人低估了gemini deep research的实用性 将原推复制到gemini，然后加一句 “你觉得他说的靠谱吗？帮我深入研究”

作为开发者，用 AI 写代码时最痛苦的不是让它生成代码，而是让它理解整个项目架构和任务依赖关系。之前总是要手动解释每个任务，反复上下文...颇为折磨。 Task Master这个项目彻底解决了这个问题！它让 Claude 像一位经验丰富的项目经理一样思考，自动拆解

Cursor Pro tip: Use TaskMaster to check task complexity. If the score is above 6, break it down. Ask Cursor to split that task into smaller steps using the “expand” tool. You’ll get way cleaner results, every time.

The reason why Elon Musk is making the future super exciting. "Life can't just be about solving one miserable problem after another, that can't be the only thing, they need to be things that inspire you and that make you glad to wake up in the morning and be part of humanity."

Cursor Pro tip: Use TaskMaster MCP to check task complexity. If the score is above 6, break it down. Ask Cursor to split that task into smaller steps using the MCP's “expand” tool. You’ll get way cleaner results, every time.

The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: - Natively multimodal

Come hang out with us & Model Y for 30 mins Full drive in 1x speed below

yihong0618 哈哈，移动互联网时代由于基建和研发已经完成，所以大量提拔了只会“管理”的领导。 在涉及 AI 新的基建需要构建的时候，这些人成为就成为了最大的问题。 国内做的好的都是边缘部门，没啥人管，领导也懂玩出来的，然后有点起色被上头看见再插手，模型质量就会继续恶化。

i built cursor for dating. feat eunice (spent my life savings on this cinematic launch video bc i have no vc money to burn)

Thought for 4,35 × 10¹⁷ seconds

太猛了，我都没想到我真能搞定！ 来看一下配合 Nano Banana 和其他 AI 能力我们普通人可以做到什么东西 开局一张平面设计图，最后在 Nano Banana 、Rodin、Cursor 的加持下 变成了一个可以自由预览的 3D 模型，点击具体位置还有详细的渲染图可以看

把Lenny的649个Markdown文件转成Skill，对话式学习。 Lenny资料包下载：xiangyangqiaomu.feishu.cn/wiki/S97awc7Ee… Skill安装 npx skills add joeseesun/lennys-podcast-newsletter Github：github.com/joeseesun/lenn…

How to setup your Claude code project? TL;DR Most developers skip the setup and just start prompting. That's the mistake. A proper Claude Code project lives inside a .𝗰𝗹𝗮𝘂𝗱𝗲/ folder. Start with 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 as Claude's instruction manual. Split it into a 𝗿𝘂𝗹𝗲𝘀/

你日常用 Claude Code，用了多少功能？手机上写代码？语音编程？让 Claude 每 5 分钟自动帮你处理代码审查？ Claude Code 的创建者 Boris Cherny 列了 15 个他觉得被低估的功能。 【1】Claude Code 有移动端 Boris 说他有很多代码是在 iOS 上写的，不用开电脑就能改代码。操作方式：下载 Claude