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Make AI Do Sh*t.

No fluff. Just deep dives into tool-calling and agent auth to make your AI actually useful.

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TUTORIALS

Simplifying Google Calendar + Telegram Integration: A Developer's Guide

As the world becomes more and more agentic, it’s important to meet your users where they are, and this usually means providing them with polished UX in whatever communication platforms they use on a daily basis: * WhatsApp * Email * Telegram * Discord * Slack Adding a chatbot experience to chat-like interfaces is usually pretty easy. I just pick one of the existing LLM clients, add my API Key, a nice system prompt, and let users chat away. However, things quickly become complex if the age

PRODUCT RELEASE

LangChain Announces Open Agent Platform Powered by Arcade.dev

At the Interrupt Conference, LangChain unveiled a new agent platform that allows developers to build and share AI agents. The platform leverages Arcade.dev's support for Model Context Protocol (MCP) to enable agents to perform actions on behalf of users across hundreds of services. Why This Matters: * Complete Agent Ecosystem: Developers can now build, share, and deploy AI agents through an intuitive platform with flexible hosting options * Powerful Action Capabilities: Thanks to Arcade.dev

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TUTORIALS

How to Build A User-Friendly UI for LangChain's Social Media Agent with Easy Notion Integration

LangChain's Social Media Agent is a fantastic tool. It allows you to take a list of links – maybe articles you've read, interesting projects, or company blog posts – and automatically generate engaging social media updates. Imagine processing 50 links and scheduling them out over the next few weeks. You could go on vacation knowing your social media feed remains active and consistent with content you've already approved. That's powerful automation! The Challenge: The Terminal Barrier While po

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THOUGHT LEADERSHIP

The Authentication and Authorization Challenges in AI Agent Development: Critical Questions from Developers

As AI agents and LLM-based applications become increasingly sophisticated, developers face unprecedented challenges in securing these autonomous systems. The intersection of artificial intelligence with identity management has created a complex landscape where traditional security paradigms prove inadequate. This report examines the fundamental questions developers are grappling with as they attempt to build secure, scalable AI systems in this rapidly evolving space. Reconceptualizing Identity

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THOUGHT LEADERSHIP

What Gartner's new MCP report reveals: security is the missing piece in most AI agent strategies

In my 20+ years in technology, I've never witnessed a standard gain momentum as rapidly as the Multi-Agent Communication Protocol (MCP). The speed at which the industry is rallying around MCP is remarkable. Just this week, Gartner released a comprehensive report analyzing MCP and various implementation approaches. What's particularly telling is how quickly enterprise customers are asking questions about agent interoperability. The fact that Gartner has already published analysis signals this i

MCP

Why MCP Is Stuck on Your Laptop (And How to Fix It)

Model Context Protocol (MCP) is generating a lot of excitement right now. It’s a simple, elegant spec that makes it easy to expose functionality and contextual data to AI models in a structured way. Want to create GitHub issues or email stakeholders just by asking your code editor? It works great—locally. MCP enables some cool use cases on your local machine today. But what if you’re building something cloud-hosted? What if your agent runs in a browser, on a server, or in a cloud function? Th
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