Agentic Vibe Coding Platform to Build Full-Stack Apps

Today’s top AI Highlights:

1. Fully-agentic vibe coding platform to build full-stack production-ready apps

2. Build AI agents with memory, RAG, MCP, and handoffs with Mistral Agents API

3. General-purpose AI agent that uses your computer and takes 1000s of actions across apps

4. Opensource 14B Reasoning model post-trained in just $499

5. Google’s opensource app to run AI models locally on your phone

& so much more!

Read time: 3 mins

AI Tutorial

Picture this: you're deep in a coding session when you need to update your project documentation in Notion. Instead of context-switching to a browser, navigating through pages, and manually editing content, you simply type "Add deployment notes to the API docs" in your terminal. The magic happens instantly—your Notion page updates without you ever leaving your development environment.

In this tutorial, we'll build a Terminal-based Notion Agent using MCP and Agno framework. This agent will allow you to interact with your Notion pages through natural language commands directly from your terminal, enabling operations like content updates, searches, block creation, and comment addition.

We share hands-on tutorials like this every week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.

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Latest Developments

Vibe Code Fully-Functional Production-Ready Apps 😎💡📱

We’ve all been there - scrolling through X, seeing another "vibe code an app in 30 seconds" demo. The vibe coding ecosystem is packed with tools that demo beautifully but crumble the moment you need real user authentication, database persistence, or anything beyond basic CRUD operations. You've probably tried a few yourself, excited by the promise, only to hit the inevitable wall, and you're back to writing actual code.

Emergent is the first agentic platform that actually delivers on the vibe coding promise, we personally tested this extensively. Emergent ships fully functional production-ready applications with real backends, databases, authentication, and deployment, all from a simple prompt. You can build literally anything using Emergent — web apps, SaaS tools, Chrome extensions, MCP servers, Slack bots, Figma plugins, and everything else.

Powered by Claude 4 and a sophisticated multi-agent architecture, Emergent handles everything from planning and coding to testing and deployment, making it possible to go from idea to live product without writing a single line of code.

Key Highlights:

1. Multi-Agent Development - Emergent deploys specialized AI agents that handle distinct engineering roles, including frontend, backend, infrastructure, DevOps, and QA. These agents operate like a full engineering team that plans architecture, implements features, and handles deployment fully autonomously.

2. Production-Ready - Emergent automatically configures real databases, servers, authentication systems, and third-party integrations. Applications come with enterprise-grade security, scalable architecture, and built-in safety measures by default. You get working APIs, secure user authentication, and production infrastructure that can handle real traffic.

3. End-to-End Development - The platform manages the complete development lifecycle from initial concept through live deployment. Emergent conducts product research, creates technical specifications, writes and tests code, handles debugging, and deploys in a single click. It handles the technical execution entirely.

4. Application Capabilities - Build sophisticated applications like AI-powered SaaS tools, full-stack marketplaces with payment processing, autonomous agents that interact with APIs, internal dashboards with complex user roles, MCP servers that go far beyond simple CRUD operations, and a lot more.

If you want to build something that actual users will pay for instead of another demo, Emergent is worth checking out. We got early access to Emergent and have 50 invites. Use the code VIBEWITHSHUBHAM to experience pure system-level thinking and vibes ✨🤌

Build AI Agents With the Mistral Agents API 🤖🧰🧠

Mistral AI has released their Agents API, a comprehensive agent framework to convert LLMs into autonomous problem-solvers, capable of executing code, searching the web, and coordinating complex multi-agent workflows. The API equips AI agents with persistent memory, built-in connectors for essential tools, and sophisticated orchestration capabilities that let agents hand off tasks to specialized counterparts.

Mistral has integrated with the Model Context Protocol, making it another major company to adopt MCP alongside OpenAI, Google, and others in the growing ecosystem. You can check out their ready-to-use demos, including a GitHub repo assistant, financial analysts, and travel planners.

Key Highlights:

1. Agent Definition - Just like other agent frameworks, each agent is created with specific parameters including model, task, custom instructions, and tool assignments. Agents can be equipped with user-defined functions, built-in connectors, or MCP tools. It is interesting to see how the AI agent definition is consistent across major frameworks.

2. Built-in Connectors - Mistral includes essential tools out of the box: Python code execution in sandboxed environments, web search powered by Brave, image generation via Black Forest Lab's FLUX1.1, and document libraries for RAG functionality. These connectors work immediately without additional setup or API management.

3. Persistent Memory and Conversation Management - The API maintains stateful conversations with full context preservation, eliminating the need for developers to manually track conversation history. You can branch conversations from any point, continue previous discussions seamlessly, and stream outputs in real-time.

4. Multi-Agent Orchestration Capabilities - Dynamic agent handoffs allow specialized agents to delegate tasks based on conversation needs. Handoffs enable a seamless chain of actions. A single request can trigger tasks across multiple agents, each handling specific parts of the request.

5. MCP Integration - Built-in MCP support enables direct connections with databases, APIs, and external systems through standardized interfaces.

Quick Bites

India’s Fractal has released Fathom-R1-14B, an opensource 14B parameter reasoning model, post-trained in just $499, fine-tuned from Deepseek-R1-Distilled-Qwen-14B. It matches or beats o3-mini and even rivals o4-mini-low on olympiad-level math benchmarks, with the context length capped at 16K tokens. The full model, datasets, and training recipes are open-sourced under MIT. There’s also a second variant, Fathom-R1-14B-RS, trained using RL + SFT for $967, showing similar performance.

The UAE is offering free ChatGPT Plus subscriptions to all residents, making it the first country to do so. This is part of a broader partnership with OpenAI, which includes building a large AI data center in Abu Dhabi called Stargate UAE. The center will have a one-gigawatt computing cluster, with 200 megawatts expected to be operational by next year.

This is the first time any country has offered nationwide, no-cost access to a premium AI service. It will be interesting to see the productivity gains of the UAE residents with such a huge adoption.

Meet Fairies, the new general-purpose AI agent from Fundamental Research Labs, to act as your personal agent right on your computer. This locally-run agent can autonomously take actions across your favorite apps like Slack and Gmail, has full file access, can generate code, do deep research, and help with other routine tasks like organizing your desktop, or even drafting GitHub PR descriptions, all while ensuring you maintain control with explicit approvals.

It’s still being actively worked on, and the team is planning to ship new features every week. Available to download for Mac and Windows.

Anthropic has released Voice Mode for the Claude mobile app in beta. Available on both iOS and Android app, Claude displays the key points on-screen as it speaks, and can seamlessly switch between text and voice within the same conversation. If you’re a paid user, you can give Claude access to your Google Docs, Calendar, Gmail, and web searches. This will help Claude extract context from these apps and incorporate that in its responses.

Tools of the Trade

1. Google AI Edge Gallery: An experimental app to use AI models running locally on your Android (available now) and iOS (coming soon) devices. Explore different models, chat, ask questions with images, explore prompts, and more. You can easily switch between different models from Hugging Face and compare their performance.

2. OpenMCP: Turns any OpenAPI spec into an MCP server and lets you bundle multiple servers into one with only the tools you want. It supports both OpenAPI and stdio setups, works with all major chat clients, and runs with a simple install command.

3. Line0: AI pair programmer to build production-ready backend services from simple prompts, starting with support for Node.js and Express.js. It syncs with GitHub, remembers your codebase, and follows backend best practices for project structure, security, and documentation.

4. Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, MCP, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes

1. few realize this:

   Anthropic's coding focus isn’t a step back from AGI

   it's the quickest path to it ~
   Lisan al Gaib

   
   

2. uae giving every citizen free chatgpt plus is incredible. minimal downside, massive upside. even a ~1.5x productivity boost across the population pays for itself instantly. this is exactly what state level tech investment should look like.

   sam altman continues to prove he’s one of the most cunning dealmakers of the 21st century. insanely cold blooded. effective af. just… inevitable.

   also think about what it does for openai usage & valuation? when was the last time a company did a deal with an entire god damn country? ~
   signüll

That’s all for today! See you tomorrow with more such AI-filled content.

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