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@xkaidus

𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗼𝗻 𝗔𝗜, I𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗯𝗲𝗶𝗻𝗴 𝗯𝘂𝗶𝗹𝘁 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄

Katılım Temmuz 2024
16 Takip Edilen4.3K Takipçiler
@Coldly
@Coldly@Just_Codly·
@xkaidus There is one of the better lines written about MCP so far...cool
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Kaidu
Kaidu@xkaidus·
This guy built an AI army on the new Shopify MCP bridge and in the first month after launch earned $24,000 net. On May 4, 2026, Shopify connected directly to Claude and ChatGPT through the Model Context Protocol. Before, Claude was just a tool for generating product descriptions. Now it became an operator: you type a command in the chat, and the store updates in real time. Most of the 5.6 million stores on Shopify still pay $1,800 to $3,000 a month to developers, copywriters, and agencies for the work that Claude now does in one conversation. Those who noticed the window on May 4 do the same thing for $69 a month. And then it gets more interesting. On top of MCP he built a command center on OpenClaw and Claude Code: Cortana as the manager, Jarvis as the executor, Boss as the controller. Cortana scans the market by his criteria, Jarvis sends cold emails to 5 found businesses, and Boss makes sure not a single action goes outside the pipeline. When a client replies, Cortana recognizes the interest and automatically launches a follow-up through Jarvis. The owner gets a report in Telegram and hits "Approve" to launch the outreach. In the first month the system brought him $24,000 in net profit. AI no longer works on one funnel, it works as the entire team at once. Here is how any platform reacts when a tool gets access to its production system for the first time. A year ago Claude helped the store owner. Today it became the store owner. Next in line are Stripe, HubSpot, and Notion: each of them will open the same window in the coming quarter. Right in front of us one guy with 3 agents and $69 in subscriptions replaced what usually costs $5,500 a month. Before May 4 a store was an object. After May 4 a store became a conversation.
RetroChainer@RetroChainer

x.com/i/article/2051…

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Kaidu
Kaidu@xkaidus·
@koltregaskes i need an explanation on what im being limited from
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Kol Tregaskes
Kol Tregaskes@koltregaskes·
My goodness, Anthropic. Please fix, I'm getting these a lot atm.
Kol Tregaskes tweet media
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Kaidu@xkaidus·
@BawsaXBT solid pulls honestly. love those 2 big recent additions)
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bawsa
bawsa@BawsaXBT·
so we ripped some packs last night. bangers or nah? 🤔
bawsa tweet media
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Kaidu@xkaidus·
@GoSailGlobal that 99.9% token reduction is the real eye opener. basically bruteforce MCP the wrong way until now.
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Jason Zhu
Jason Zhu@GoSailGlobal·
Cloudflare 把自己内部跑 MCP 的架构全公开了 跟 OpenAI 上次那份 Running Codex Safely 配着看 是企业 agent 安全的两份必读模板 · 最炸的一招 :Code Mode 把 MCP 的 token 消耗砍掉 99.9% · 原来怎么做 MCP server 把所有 endpoint 的定义全 expose 给模型 Cloudflare API 几千个 endpoint 模型一上来就要装满 context Code Mode 怎么做 只 expose 两个工具 search :让模型写 JS 探索可用的 API execute :让模型写 JS 调用它找到的 API 模型按需发现 / 不再预先全装 context 利用率从「全部前置」变成「按需加载」 99.9% 是这么来的 · 第二条很反共识 Cloudflare 直接说 本地 MCP server 是企业 agent 的最大安全漏洞 理由 依赖未审核的软件 没有集中治理 更新 / 漏洞 / 审计都跟不上 他们的方案 所有 MCP server 部署在远端 / 由集中团队管 跟「自己电脑跑 docker」那种本地化路线完全反过来 · 三层企业防线 Cloudflare Access :认证(SSO + MFA + 设备 / 位置上下文) AI Gateway :调用层观测和拦截 MCP Server Portal :内部 server 的统一发现 + 权限管理 任何 agent 想动 / 三层都过 · 还有一个新词 :Shadow MCP 类比 Shadow IT 你公司里有员工自己装了 MCP server 连了公司数据 / 你不知道 Cloudflare Gateway 加了规则 / 专门识别这种东西 接下来 12 个月 /「企业 MCP 管控」会变成一个独立赛道 · 战略含义 MCP 这一层 / 正在从「开发者协议」往「企业基础设施」走 OpenAI 在做 Codex 的本地沙箱 Cloudflare 在做 MCP 的远端治理 Anthropic 在推 MCP 标准本身 三家在不同位置上 / 把同一件事打成 fait accompli 从「告诉模型一切」 / 走向「让模型自己去发现」 原文链接:blog.cloudflare.com/enterprise-mcp/
Jason Zhu tweet media
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Kaidu@xkaidus·
@0rdlibrary wait so the vs code screenshot actually goes hard real dev activity or just a really good fake?
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Kaidu
Kaidu@xkaidus·
@ziwenxu_ bold wording for a scheduled announcement hope it delivers cause hype burnout is real
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Kaidu
Kaidu@xkaidus·
@WesRoth most software agents live in the cloud, not the OS level integrating it into the core might actually make it useful
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Wes Roth
Wes Roth@WesRoth·
Google has officially unveiled Gemini Intelligence at The Android Show (I/O Edition), embedding deep, proactive agentic capabilities directly into the core Android operating system to automate complex digital workflows and reduce interface friction. The update includes multi-step task automation across apps, Gemini in Chrome for summarizing and comparing web content, one-tap intelligent form filling, Rambler for turning natural spoken thoughts into polished text, and custom widgets created with simple language. These features will roll out first to the latest Samsung Galaxy and Google Pixel phones this summer, then expand to watches, cars, glasses, and laptops later this year.
Wes Roth tweet media
Sundar Pichai@sundarpichai

Today at the @Android Show (I/O edition) we announced Gemini Intelligence - bringing the best of Gemini to our most advanced devices. Automate multi-step tasks across apps and Chrome, fill out forms in a single tap, turn spoken thoughts into polished text with Rambler, build custom widgets & loads more.

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Kaidu@xkaidus·
@dani_avila7 access groups are the unsung hero of actual deployment. nobody talks about scope creep until the research team calls a private API lol
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Daniel San
Daniel San@dani_avila7·
The governance layer is what makes this usable at company scale You assign plugins to groups (engineers, research, platform, etc) and scope which tools each skill or mcp can actually call So a research analyst and a platform engineer hit the same marketplace but get completely different surfaces Full article: hedgineer.io/content/claude…
Daniel San tweet media
Daniel San@dani_avila7

How we're building an enterprise knowledge layer on top of Claude Code at Hedgineer 7 skill categories across our org, distributed through an internal plugin marketplace to every surface: - Chat - Code - Cowork - Office agents - VSCode

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Kaidu@xkaidus·
@tom_doerr ngl half the battle is just knowing where to start, this seems like it cuts the noise
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Kaidu
Kaidu@xkaidus·
@0rdlibrary nywayz feel like deyve noledge indeed.
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8Bit🦞
8Bit🦞@0rdlibrary·
My dream is becoming a reality. Powered and paid for by $clawd
8Bit🦞 tweet media
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Kaidu
Kaidu@xkaidus·
@willccbb this but unironically (also i like being able to change my mind after 5 mins)
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Kaidu
Kaidu@xkaidus·
@vasuman tbh its the unlimited token spend + real world scope that makes this different from usual intern gigs
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vas
vas@vasuman·
Hiring an intern who will come in and just build cool and useful shit with tools like this for all of our employees to use internally and move 100x faster. You get : - top 1% salary - catered lunch and dinner - unlimited token spend - real world use cases (you’re building for our clients and our company) - mentorship from some of the brightest minds in AI I get: - a Varick Agents for Varick Agents Apply on website
OpenAI Developers@OpenAIDevs

What if your team gave standup updates, and GPT-Realtime-2 moved the tickets?

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Kaidu@xkaidus·
@dingyi wait so the tools changed but the workflow problems stayed the same? been this way since figma dropped live inspect.
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Ding
Ding@dingyi·
这篇不错,介绍了 Vercel 产品设计团队在实际工作中使用的工具和工作流。2026 年了,从生产环境反向设计的流程已经成为了标准: - Codex 编码,Claude 评审。 - Paper 浏览器插件: 用于将生产环境的样式和结构完美抓取回设计画布进行二次创作。 - UI Fork: 由团队成员 Sam 开发的调试工具,允许在本地开发环境中创建组件的多个版本。评审者可以直接在浏览器中切换对比,选定后一键将差异合并回原文件 - Slack 机器人: 通过在 Slack 中链接 v0、Cursor 或 Claude,直接修复小 bug 或开启 PR。 - Timeless: 一个内部工具,能持续记录屏幕并允许随时保存过去 5 分钟的录像,便于复现偶然出现的 bug。 - CleanShot: 用于将截图悬浮在设计稿上,快速进行前后对比。 Figma 依然不可替代: 尽管 AI 工具很快,但在进行广泛的创意探索时,设计师仍倾向于使用 Figma。
Hannah Hearth@hannah_hearth

The discourse around design tooling is drowning in broad generalizations (like this very sentence). So I wrote up some concrete examples of what the Vercel product design team is using at this moment in time. hannahhearth.com/posts/tools-th…

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Kaidu@xkaidus·
@haider1 the switching cost is real even if the tool is better most devs arent moving unless something breaks
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Haider.
Haider.@haider1·
google needs to attract a lot more developers right now, many devs who are using AI are already pretty happy with what they're doing codex and claude code so google will need to give them a strong reason to switch -- and even with a good reason, that switch will take time
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Kaidu@xkaidus·
@ThePrimeagen 0 dependencies is the kind of luxury u dont appreciate til u try it odin really feels designed, not just grown
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
I have really loved my time exploring Odin-lang It's crazy having a language that is batteries included. Using a language that knows what it's job is and is good at it. 0 dependencies is bliss
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Kaidu@xkaidus·
@tom_doerr couldnt get consistent quality from it. has the workflow improved recently or still hit or miss?
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Kaidu
Kaidu@xkaidus·
@NickADobos the scream mechanic is unhinged but honestly i want every device to have one now
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Kaidu
Kaidu@xkaidus·
@JonahBlake breaking down creator margins like this is lowkey refreshing makes me wonder what the actual ratio is for top 1% though
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Jonah
Jonah@JonahBlake·
Wrong mostly 1. Regarding creators: Yes there is a supply overfill coming 2. Regarding clippers: they do not make more than creators not true. Most are paid from a creators budget. So if a creator gets 10k about 4k of that is spent on clippers. Very very few are higher 3. The average token cost for a 4 min ai video averages between $400-$1,000 raw Then the cost of services likely matches. So let’s say 1200-2000 for one video from an ai video agency It’s about the same as a creator and it will go up in cost unless we have many more data centers because the tokens are all subsidized by VC. Which it prob will get cheaper eventually. So it’s part of the marketing but does not replace creators I am a marketer for companies I do know this stuff
Clemente@Chilearmy123

Why I think the creator economy has topped forever

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Kaidu
Kaidu@xkaidus·
@Arithmos0x gotta respect the record brag when its backed up might cop a pack just to see if the luck transfers
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