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Google just released its own MCP (Model Control Plane) server for Stitch, turning LLM coding agents into UI-savvy collaborators. The new Stitch MCP Server pipes designs directly into your IDE. 🔹 Generate new screens 🔹 Fetch code from any design 🔹 Give your agent full visual context

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138,465 Aufrufe • vor 6 Monaten •via X (Twitter)

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That gap between design and production? Closed. 🔁 GitHub Copilot, Visual Studio Code, and Figma now create a continuous loop. With the bidirectional Figma MCP server, Copilot users can: 🔹 Pull design context into code 🔹 Push working UI back to the canvas Connect your canvas and stay in the flow. 👇

That gap between design and production? Closed. 🔁 GitHub Copilot, Visual Studio Code, and Figma now create a continuous loop. With the bidirectional Figma MCP server, Copilot users can: 🔹 Pull design context into code 🔹 Push working UI back to the canvas Connect your canvas and stay in the flow. 👇

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Design → code → canvas → feedback → repeat. The Figma MCP server is now bidirectional. GitHub Copilot users can pull design context into code and push working UI back to the Figma canvas, all from Visual Studio Code . No handoffs or context switching. Just flow.

Design → code → canvas → feedback → repeat. The Figma MCP server is now bidirectional. GitHub Copilot users can pull design context into code and push working UI back to the Figma canvas, all from Visual Studio Code . No handoffs or context switching. Just flow.

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🗞️ Ava's Frid-AI Roundup! Welcome to Solidus Ai Tech Friday Roundup! 🔹 OpenAI Unveils the ChatGPT Agent 🔹 Google Activates “AI Mode” with Deep Search and Voice Calling 🔹 Meta Plots Supercomputers the Size of Manhattan 🔹 Netflix Leans into Generative AI for Its Hit Shows 🔹 Amazon Debuts Kiro, an AI‑Powered Coding IDE 🔹 Runway’s Act‑Two Model Brings Motion‑Capture Magic to Any Video 🔹 China Unveils a Humanoid Robot That Swaps Its Own Batteries

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New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

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We have an ambitious vision for Stitch, we're just getting started. We've heard all your feedback on the product. Lots of improvements coming up soon on design quality, variety and iteration capabilities. Maybe even a new model 👀 Code is our underlying artifact, we will make sure you can use your Stitch designs into real products.

We have an ambitious vision for Stitch, we're just getting started. We've heard all your feedback on the product. Lots of improvements coming up soon on design quality, variety and iteration capabilities. Maybe even a new model 👀 Code is our underlying artifact, we will make sure you can use your Stitch designs into real products.

Stitch by Google

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You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

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🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

Visual Studio Code

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Here is a quick walkthrough of everything new in Stitch: 🎨 The AI-native canvas can hold and reason across images, code, and text simultaneously. The new agent manager helps you design in parallel. (PS … light mode!) 🧠 A smarter design agent now understands your entire canvas context. You can swap images, generate product briefs, or mix mobile and desktop screens on the same canvas. 🎙️ You can vibe design with your voice (in Preview). Stitch can ‘see’ your canvas and your selected screens. You can ask for design critiques, variations, or navigate your canvas. ⚡️ Instant prototypes. Just hit the play button to see a prototype or preview your app in seconds. Stitch can imagine the next screen based on your mouse click. 📐 DESIGN.md and consistency. Every new design automatically starts with a cohesive design system which vastly improves consistency. The new DESIGN.md file can be used to export or import your design rules. Walkthrough video👇 Details for each major improvement 🧵

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📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:

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divyansh tiwari

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🤯 Building computer-vision applications is never going to be the same again. As Andrej Karpathy says, "English is going to be the new programming-language", and we just made that happen for programming visual AI. 👨‍💻 This past month, the VLM Run team cooked up something magical that I'm especially proud of - a natural-language interface to build and run computer vision workflows (object-detection, OCR, parsing, and so much more) – all via our new VLM Run MCP server. 🔌 It works with any MCP-compatible AI agent (Claude, OpenAI, Cursor, etc.) and abstracts complex visual workflows into simple English commands. No need to write Python or fiddle with bespoke computer-vision code – just say what you want your agent to do, and it does it. Here’s a glimpse into what you can build today ( ☑️ Image AI agents – run detection, tagging, blurring, cropping, and more traditional CV tasks with English ☑️ Document AI agents – extract totals from invoices, search visual content, or act on what’s found ☑️ Video AI agents – understand scene content, trim clips, add subtitles, and create ready-to-share edits ☑️ And best-of-all, it's fully programmable with English. 🧑‍🍳 MCP Showcase: 📚 MCP Cookbooks: 📚 MCP Docs: #computervision #ai #agents #llm #vlm #mcp #vibecoding #genai

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Sudeep Pillai

17,789 Aufrufe • vor 1 Jahr

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

LlamaIndex 🦙

34,881 Aufrufe • vor 4 Monaten

Introducing Einstein Sales Agent on Salesforce's new Agentforce Platform! Scale your sales force easily with autonomous sales agents! Sales agents can turn deals over to humans directly in Salesforce Sales Cloud! Humans with AI drive customer success, together. 🔹 24/7 automated pipeline nurturing 🔹 Personalized engagement with inbound leads using trusted CRM data 🔹 Seamless transitions and human handoffs across all channels 🔹 No need for complex conversational scripts 🔹 Operates across sales, service, marketing, and commerce 🔹 Reaches leads on their preferred channel, in their preferred language 🔹 Configurable with sales strategies and knowledge, just like training a seller 🔹 Transparent governance dashboards for full oversight 🔹 Extensible low-code tools 🔹 MuleSoft for cross-system actions 🔹 Real-time, harmonized data with Data Cloud See Einstein Sales Agents in action at Dreamforce 2024! Now everyone is an Einstein. ❤️

Introducing Einstein Sales Agent on Salesforce's new Agentforce Platform! Scale your sales force easily with autonomous sales agents! Sales agents can turn deals over to humans directly in Salesforce Sales Cloud! Humans with AI drive customer success, together. 🔹 24/7 automated pipeline nurturing 🔹 Personalized engagement with inbound leads using trusted CRM data 🔹 Seamless transitions and human handoffs across all channels 🔹 No need for complex conversational scripts 🔹 Operates across sales, service, marketing, and commerce 🔹 Reaches leads on their preferred channel, in their preferred language 🔹 Configurable with sales strategies and knowledge, just like training a seller 🔹 Transparent governance dashboards for full oversight 🔹 Extensible low-code tools 🔹 MuleSoft for cross-system actions 🔹 Real-time, harmonized data with Data Cloud See Einstein Sales Agents in action at Dreamforce 2024! Now everyone is an Einstein. ❤️

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56,695 Aufrufe • vor 2 Jahren