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CLAUDE IS SO MUCH BETTER WHEN YOU USE MCP Both Claude Sonnet and Opus are Insanely smart Agents. But they can't read your mind. You need to Give it Context... (MCP = model CONTEXT protocol) Here is an example... Then a tutorial on how to give Claude access to... show more

Riley Brown

216,830 subscribers

344,940 просмотров • 1 год назад •via X (Twitter)

Музыка Наука и технологии Образование

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Комментарии: 11

Фото профиля Riley Brown

Riley Brown1 год назад

It’s called n8n in comments because that’s the name of the integration on notion. It’s not using n8n

Фото профиля GREG ISENBERG

GREG ISENBERG1 год назад

clode

Фото профиля BEN SYNE

BEN SYNE1 год назад

Mcp is great, Claud limits suck tho, i have the 100 plan and still get sick after s few messaged. I use mcp’s in cursor instead without issues

Фото профиля Noah Santoni

Noah Santoni1 год назад

Oh yes definitely MCP on the app is the way forward, I use the firecrawl Mcp and give it access to a specific folder on my PC, it just COOKS! the best is the firecrawl screenshot it can do, can immediately give me a clients brand colours and brand inspiration for a website rebuild, app etc

Фото профиля Ojisan Kaichou

Ojisan Kaichou1 год назад

This is all I can think about when I see the initials MCP

Фото профиля Solomon PaulMaah

Solomon PaulMaah1 год назад

Amazing work, Riley.

Фото профиля Danny Roosevelt

Danny Roosevelt1 год назад

Have you already seen Nearly 3k MCP servers with built-in auth and 10+ tools. End users can use them for free, devs can add them to their app or agent. Would love to chat!

Фото профиля Troy Assoignon

Troy Assoignon1 год назад

Haha yessss! We just made an MCP MyManus hack for Mac, will be uploading to GitHub this week so I can have MCPs on the go.

Фото профиля Dima

Dima1 год назад

Definitely! The options for different MCP servers are immense. I created a list with useful directories:

Фото профиля Martin Erlic

Martin Erlic1 год назад

I have still not used any MCPs. Don't see the point!

Фото профиля Riley Brown

Riley Brown1 год назад

Ok.

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You can now add Claude Code to any vibe coded app. We just launched the new Claude Code integration on vibecode.dev. Which allows you to build fully Agentic Applications. In a single prompt, with no API Key. Here's is an example and tutorial: 0:00 - Claude Code for Twitter Example 01:52 - Building the Claude Code for Motion Graphics

You can now add Claude Code to any vibe coded app. We just launched the new Claude Code integration on vibecode.dev. Which allows you to build fully Agentic Applications. In a single prompt, with no API Key. Here's is an example and tutorial: 0:00 - Claude Code for Twitter Example 01:52 - Building the Claude Code for Motion Graphics

Riley Brown

30,119 просмотров • 6 месяцев назад

Claude Code can parse the whole Internet using Apify actors. And with MCP connectors, you can talk to servers and have your agents perform operations behind paywalls. Example (see the video here): Analyze a YouTube video and write the summary in a Notion page. Another example: Scrape the school calendar and automatically add the events to your Google Calendar. You can do all of this using Claude Code + Apify Skills. Setting this up takes a few seconds: • Open your Apify settings > API & Integrations • Connect your tool (Notion, Google Calendar, ...) • Authorize once Your actors will now have direct read and write access to those services. Here is a blog post with an explanation of how MCP connectors work in Apify: Thanks to the Apify team for partnering with me on this post.

Claude Code can parse the whole Internet using Apify actors. And with MCP connectors, you can talk to servers and have your agents perform operations behind paywalls. Example (see the video here): Analyze a YouTube video and write the summary in a Notion page. Another example: Scrape the school calendar and automatically add the events to your Google Calendar. You can do all of this using Claude Code + Apify Skills. Setting this up takes a few seconds: • Open your Apify settings > API & Integrations • Connect your tool (Notion, Google Calendar, ...) • Authorize once Your actors will now have direct read and write access to those services. Here is a blog post with an explanation of how MCP connectors work in Apify: Thanks to the Apify team for partnering with me on this post.

Santiago

19,783 просмотров • 1 месяц назад

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Om Patel

401,101 просмотров • 4 месяцев назад

If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why I interviewed my friend Alex Rattray (Alex Rattray), the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. I had him on Every 📧’s AI & I to talk about MCP and the future of the AI-native internet. We get into: • Design MCP servers to be lean and precise. Alex’s best practices for building reliable MCP servers start with keeping the toolset small, giving each tool a precise name and description, and minimizing the inputs and outputs the model has to handle. At Stainless, they also often add a JSON filter on top to strip out unnecessary data. • Make complex APIs manageable with dynamic mode. To solve the problem of how an AI figures out which tool to use in larger APIs, Stainless switches to “dynamic mode,” where the model gets only three tools: List the endpoints, pick one and learn about it, and then execute it. • MCP servers as business copilots. At Stainless, Alex uses MCP servers to connect tools like Notion and HubSpot, so he can ask questions like, “Which customers signed up last week?” The system queries multiple databases and returns a summary that would’ve otherwise taken multiple logins and searches. • Create a “brain” for your company with Claude Code. Alex built a shared company brain at Stainless by keeping Claude Code running on his system and asking it to save useful inputs—like customer feedback and SQL queries—into GitHub. Over time, this creates a curated archive his team can query easily. • The future of MCP is code execution. Instead of giving models hundreds of tools, Alex believes the most powerful setup will be a simple code execution tool and a doc search tool. The AI writes code against an API’s SDK, runs it on a server, and checks the docs when it gets stuck. This is a must-watch for anyone who wants to understand MCP—and learn how to use them as a competitive edge. Watch below! Timestamps: Introduction: 00:01:14 Why Alex likes running barefoot: 00:02:54 APIs and MCP, the connectors of the new internet: 00:05:09 Why MCP servers are hard to get right: 00:10:53 Design principles for reliable MCP servers: 00:20:07 Scaling MCP servers for large APIs: 00:23:50 Using MCP for business ops at Stainless: 00:25:14 Building a company brain with Claude Code: 00:28:12 Where MCP goes from here: 00:33:59 Alex’s take on the security model for MCP: 00:41:10

If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why I interviewed my friend Alex Rattray (Alex Rattray), the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. I had him on Every 📧’s AI & I to talk about MCP and the future of the AI-native internet. We get into: • Design MCP servers to be lean and precise. Alex’s best practices for building reliable MCP servers start with keeping the toolset small, giving each tool a precise name and description, and minimizing the inputs and outputs the model has to handle. At Stainless, they also often add a JSON filter on top to strip out unnecessary data. • Make complex APIs manageable with dynamic mode. To solve the problem of how an AI figures out which tool to use in larger APIs, Stainless switches to “dynamic mode,” where the model gets only three tools: List the endpoints, pick one and learn about it, and then execute it. • MCP servers as business copilots. At Stainless, Alex uses MCP servers to connect tools like Notion and HubSpot, so he can ask questions like, “Which customers signed up last week?” The system queries multiple databases and returns a summary that would’ve otherwise taken multiple logins and searches. • Create a “brain” for your company with Claude Code. Alex built a shared company brain at Stainless by keeping Claude Code running on his system and asking it to save useful inputs—like customer feedback and SQL queries—into GitHub. Over time, this creates a curated archive his team can query easily. • The future of MCP is code execution. Instead of giving models hundreds of tools, Alex believes the most powerful setup will be a simple code execution tool and a doc search tool. The AI writes code against an API’s SDK, runs it on a server, and checks the docs when it gets stuck. This is a must-watch for anyone who wants to understand MCP—and learn how to use them as a competitive edge. Watch below! Timestamps: Introduction: 00:01:14 Why Alex likes running barefoot: 00:02:54 APIs and MCP, the connectors of the new internet: 00:05:09 Why MCP servers are hard to get right: 00:10:53 Design principles for reliable MCP servers: 00:20:07 Scaling MCP servers for large APIs: 00:23:50 Using MCP for business ops at Stainless: 00:25:14 Building a company brain with Claude Code: 00:28:12 Where MCP goes from here: 00:33:59 Alex’s take on the security model for MCP: 00:41:10

Dan Shipper 📧

15,645 просмотров • 10 месяцев назад

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:

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Peter Yang

39,600 просмотров • 7 месяцев назад

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Riley Brown

84,875 просмотров • 1 год назад

Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

Movez

924,923 просмотров • 1 месяц назад

THIS IS F**KING GOLD Claude can now produce fully animated YouTube videos directly inside your chat. No video editors. No external rendering tools. No timeline slicing. Nobody is talking about this workflow yet, but connecting Claude to a custom Model Context Protocol (MCP) completely changes multimedia creation. Here is what happens from a single prompt: → Script generation: Claude drafts a structured, production-ready script. → Voice narration: Converts the text into timed voiceover audio. → Scene animation: Generates and sequences animated visual assets. All executed natively inside the conversation. The era of copying prompts into 4 different AI tools is over. MCP turns Claude into an end-to-end media engine. Bookmark to try this setup when you build your next workflow.

THIS IS F**KING GOLD Claude can now produce fully animated YouTube videos directly inside your chat. No video editors. No external rendering tools. No timeline slicing. Nobody is talking about this workflow yet, but connecting Claude to a custom Model Context Protocol (MCP) completely changes multimedia creation. Here is what happens from a single prompt: → Script generation: Claude drafts a structured, production-ready script. → Voice narration: Converts the text into timed voiceover audio. → Scene animation: Generates and sequences animated visual assets. All executed natively inside the conversation. The era of copying prompts into 4 different AI tools is over. MCP turns Claude into an end-to-end media engine. Bookmark to try this setup when you build your next workflow.

Mayor.

111,585 просмотров • 6 дней назад

THE GUY RUNNING CLAUDE CODE AT ANTHROPIC JUST SAID HE DOESN’T PROMPT AI ANYMORE. He writes loops. That’s a huge difference. A prompt tells Claude what to do once. A loop gives Claude a goal. Then Claude keeps checking its own work… Finding mistakes. Writing its next prompt. Trying again. Over and over… Until it actually reaches the target you defined. But here’s what most people miss. A loop is only as smart as the context you give it. That’s exactly why Claude Repositories matter. I broke down how to connect your entire codebase so Claude can actually reason across your project instead of a single file. Full guide below

THE GUY RUNNING CLAUDE CODE AT ANTHROPIC JUST SAID HE DOESN’T PROMPT AI ANYMORE. He writes loops. That’s a huge difference. A prompt tells Claude what to do once. A loop gives Claude a goal. Then Claude keeps checking its own work… Finding mistakes. Writing its next prompt. Trying again. Over and over… Until it actually reaches the target you defined. But here’s what most people miss. A loop is only as smart as the context you give it. That’s exactly why Claude Repositories matter. I broke down how to connect your entire codebase so Claude can actually reason across your project instead of a single file. Full guide below

kiosa

16,808 просмотров • 1 месяц назад

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Anthropic just released 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Self-improving agents (tools,skills) 1:21:25 - Build memory for Claude agents 1:49:47 - Set up a proactive agent 2:11:31 - Make your agent autonomous These 3-hours of Claude workshops will replace 20 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

Codez

502,808 просмотров • 1 месяц назад

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock

Aakash Gupta

150,362 просмотров • 3 месяцев назад

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,137 просмотров • 1 год назад

So I studied this post & Here’s how to build a million dollar business with Claude AI → Step 1: Prompt Claude to do a deep Research into products people are actively talking about on social media → Install research skill on Claude to Do better research into demand, Production, distribution & industry → When you make up your mind on what product to sell.. Install “marketing plan skill” on Claude to build your marketing plan and content plan → Open a social media page for TikTok, Facebook & IG → Use Claude’s Ads skill to help you set up your Facebook & IG ads. → Build an AI Agent that handle emails, customer service, and social media comments → Use Claude + Higgsfield to create video content & → Use ChatGPT for product photography Building wealth with AI is becoming soo easy but how many people are willing to take advantage of it? 👨🏽‍💻🙌🏽

So I studied this post & Here’s how to build a million dollar business with Claude AI → Step 1: Prompt Claude to do a deep Research into products people are actively talking about on social media → Install research skill on Claude to Do better research into demand, Production, distribution & industry → When you make up your mind on what product to sell.. Install “marketing plan skill” on Claude to build your marketing plan and content plan → Open a social media page for TikTok, Facebook & IG → Use Claude’s Ads skill to help you set up your Facebook & IG ads. → Build an AI Agent that handle emails, customer service, and social media comments → Use Claude + Higgsfield to create video content & → Use ChatGPT for product photography Building wealth with AI is becoming soo easy but how many people are willing to take advantage of it? 👨🏽‍💻🙌🏽

Tech_baby

31,159 просмотров • 1 месяц назад

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Molly O’Shea

20,408 просмотров • 1 год назад

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny (Boris Cherny) joins YC's Diana at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating. 00:07 — What Makes Opus 5 Different 02:06 — Solving Prompt Injection 03:21 — Why Claude Code Deleted 80% of Its System Prompt 06:37 — Press Delete on Your AI Product 07:20 — How to Rebuild Your System Prompt 10:30 — Product Overhang and “Unhobbling” AI 14:26 — Give Claude Harder Problems 19:32 — Prompt Engineering Is Changing 21:57 — The Two-Week Claude Code Prompt 24:42 — Running Thousands of AI Agents 30:15 — Coding Is (Almost) Solved 32:20 — What Every CS Student Should Still Learn Anthropic Claude

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny (Boris Cherny) joins YC's Diana at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating. 00:07 — What Makes Opus 5 Different 02:06 — Solving Prompt Injection 03:21 — Why Claude Code Deleted 80% of Its System Prompt 06:37 — Press Delete on Your AI Product 07:20 — How to Rebuild Your System Prompt 10:30 — Product Overhang and “Unhobbling” AI 14:26 — Give Claude Harder Problems 19:32 — Prompt Engineering Is Changing 21:57 — The Two-Week Claude Code Prompt 24:42 — Running Thousands of AI Agents 30:15 — Coding Is (Almost) Solved 32:20 — What Every CS Student Should Still Learn Anthropic Claude

Y Combinator

84,008 просмотров • 24 дней назад

Claude Code cracked something open for us Every 🧱. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Claude Code cracked something open for us Every 🧱. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Dan Shipper 📧

57,619 просмотров • 9 месяцев назад

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

The Agenteer

95,765 просмотров • 6 месяцев назад

Can a vibe coder make a better app than a senior iOS engineer? - Both of us will use Claude 4.1 Opus - We each get 5 prompts - We each get to pick our stack vs @rileybrown_ai You can win $1000 worth of credits by voting who won below: TIME STAMPS 00:00 Intro 02:47 Getting set up with Claude Code and XCode 05:53 Vishal #1 First Prompt into Claude Code 09:46 Vishal #2 Fixing errors 12:30 Getting set up with 15:00 Riley #1 First Prompt 25:46 Riley #2 Fixing Render Error 30:15 Vishal #3 Creating Folders 34:21 Riley #3 Calendar integration 41:48 Vishal #4 Fixing Folders and more 44:42 Riley #4 Recording Animation, and render error 47:46 Vishal #5 Massive Prompt (Make or break) 50:19 Riley #5 Polishing the app 55:45 Final results / Vote

Can a vibe coder make a better app than a senior iOS engineer? - Both of us will use Claude 4.1 Opus - We each get 5 prompts - We each get to pick our stack vs @rileybrown_ai You can win $1000 worth of credits by voting who won below: TIME STAMPS 00:00 Intro 02:47 Getting set up with Claude Code and XCode 05:53 Vishal #1 First Prompt into Claude Code 09:46 Vishal #2 Fixing errors 12:30 Getting set up with 15:00 Riley #1 First Prompt 25:46 Riley #2 Fixing Render Error 30:15 Vishal #3 Creating Folders 34:21 Riley #3 Calendar integration 41:48 Vishal #4 Fixing Folders and more 44:42 Riley #4 Recording Animation, and render error 47:46 Vishal #5 Massive Prompt (Make or break) 50:19 Riley #5 Polishing the app 55:45 Final results / Vote

Riley Brown

72,336 просмотров • 1 год назад

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Matt Turck

82,327 просмотров • 1 год назад