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How exactly do OTA Updates work for mobile apps? Our CTO, James Ide, gives a nice clear description here of what OTA updates are, how they work, and how you should think about using them. Use Expo MCP and ask your agent to configure OTA updates for you. •...

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Expo

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15,872 görüntüleme • 3 gün önce •via X (Twitter)

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🆕We shipped Expo Background Task in SDK 53. Today Beto published a tutorial video to show you how to use it. Background Tasks are important for things like: ◆ Syncing user data ◆ Prefetching content ◆ Downloading OTA Updates ahead of time ◆ Making apps feel instant Link to full tutorial below ↓
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🆕We shipped Expo Background Task in SDK 53. Today Beto published a tutorial video to show you how to use it. Background Tasks are important for things like: ◆ Syncing user data ◆ Prefetching content ◆ Downloading OTA Updates ahead of time ◆ Making apps feel instant Link to full tutorial below ↓

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🆕 Kadi Kraman 💚 made a video about Expo StatusBar. This is one of the most important Expo SDK libraries to know how to use. And if you like this video then we'll do more of them for all the libraries that we think are essential for most apps. Let us know what you think and check out the docs for more detail!
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🆕 Kadi Kraman 💚 made a video about Expo StatusBar. This is one of the most important Expo SDK libraries to know how to use. And if you like this video then we'll do more of them for all the libraries that we think are essential for most apps. Let us know what you think and check out the docs for more detail!

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Tell your agent to use the Expo MCP Server. It will make your dev experience more smooth and your apps will improve.
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Tell your agent to use the Expo MCP Server. It will make your dev experience more smooth and your apps will improve.

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Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at
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Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

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In the last month, people have been using Copilot Cowork to do amazing things – from building inbox workflows to sales campaigns. And I’m excited to share three big updates to help you accomplish even more: 1) mobile on iOS and Android so you can delegate work from anywhere, 2) skills to help you reuse and scale how work is done and 3) new plugins + connectors to bring your data into the flow of work. I’ve been testing these updates out – here’s a quick demo of how I’ve been using mobile in my daily work.
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In the last month, people have been using Copilot Cowork to do amazing things – from building inbox workflows to sales campaigns. And I’m excited to share three big updates to help you accomplish even more: 1) mobile on iOS and Android so you can delegate work from anywhere, 2) skills to help you reuse and scale how work is done and 3) new plugins + connectors to bring your data into the flow of work. I’ve been testing these updates out – here’s a quick demo of how I’ve been using mobile in my daily work.

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SOCIAL EXPERIMENT IN OTA OGUN STATE THIS VIDEO WILL CHANGE YOUR PERCEPTION ABOUT HELPING PEOPLE ❤️ SHARE WITH FAMILY AND FRIENDS 👥❤️ WHAT ARE YOU TRUSTING GOD FOR ? 10K FOR 10 PEOPLE WHAT DO YOU WANT FOR CHRISTMAS ?
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SOCIAL EXPERIMENT IN OTA OGUN STATE THIS VIDEO WILL CHANGE YOUR PERCEPTION ABOUT HELPING PEOPLE ❤️ SHARE WITH FAMILY AND FRIENDS 👥❤️ WHAT ARE YOU TRUSTING GOD FOR ? 10K FOR 10 PEOPLE WHAT DO YOU WANT FOR CHRISTMAS ?

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What should your agent deploy next for you? Claude Code, Cursor, and other MCP clients shouldn’t stop after coding - they should deploy and manage your infrastructure too! Hostinger Connector gives them access to do it for you! 👇 Let us know in the comments!
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What should your agent deploy next for you? Claude Code, Cursor, and other MCP clients shouldn’t stop after coding - they should deploy and manage your infrastructure too! Hostinger Connector gives them access to do it for you! 👇 Let us know in the comments!

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Biology doesn't happen in one place. We're bringing Biomni Lab from your browser to your phone, your desktop, and your agent of choice via MCP. Biomni comes with you wherever your work happens. Sign up for the closed beta (Mobile and Desktop): Use Biomni MCP today: Blog:
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Biology doesn't happen in one place. We're bringing Biomni Lab from your browser to your phone, your desktop, and your agent of choice via MCP. Biomni comes with you wherever your work happens. Sign up for the closed beta (Mobile and Desktop): Use Biomni MCP today: Blog:

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Claude Code Routines are here! In addition to a schedule, you can now trigger templated agents via GitHub event or API – with our infra & your MCP+repos They've changed how we do docs, backlog maintenance and more internally at Anthropic Get started at
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Claude Code Routines are here! In addition to a schedule, you can now trigger templated agents via GitHub event or API – with our infra & your MCP+repos They've changed how we do docs, backlog maintenance and more internally at Anthropic Get started at

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One search—across all your apps—with #GeminiEnterprise. Simply ask questions about your work to get specific, actionable answers you need from your meetings, docs, and projects without having to hunt for information →
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One search—across all your apps—with #GeminiEnterprise. Simply ask questions about your work to get specific, actionable answers you need from your meetings, docs, and projects without having to hunt for information →

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Quick video on how I use Linear Agent in product work. For feature requests, I want to understand the broader pattern, not just react to one ask. Here, it pulled from 40k+ customer requests to help me think through whether Linear should have team docs.
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Quick video on how I use Linear Agent in product work. For feature requests, I want to understand the broader pattern, not just react to one ask. Here, it pulled from 40k+ customer requests to help me think through whether Linear should have team docs.

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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:
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In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

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Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.
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Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

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Comment “MCP” and I’ll DM you the servers I use every day Browser MCP tests apps for you, Magic MCP builds UI in seconds, and GitMCP links your AI to any repo. These are only 3 of the seven MCPs I use. Once you try them, you’ll never want to build with AI without them.

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Stop what you are doing and get your product on Claude and ChatGPT via MCP! Everyone does most of their work in AI apps now -> let users discover and use you right there. We built Manufact to be the cloud that takes your MCP from first commit to listed.

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Deciding between A2UI and MCP Apps for your agentic interfaces? You don't have to choose 💫 This guide breaks down 3 architectural patterns for combining the best of declarative and custom UIs, including how A2UI and MCP Apps can seamlessly interact with each other.
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Deciding between A2UI and MCP Apps for your agentic interfaces? You don't have to choose 💫 This guide breaks down 3 architectural patterns for combining the best of declarative and custom UIs, including how A2UI and MCP Apps can seamlessly interact with each other.

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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!
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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!

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142,010 görüntüleme • 1 yıl önce