In our first video, we introduced the Agent Development Kit for TypeScript (ADK-TS). Now, in Part 2, we’re showing you its real power: tools and AI SDK integration. ✨ Tools are what turn a simple chatbot into a true assistant. Need quick calculations? Add a calculator tool. Want real-time weather updates? Build a weather tool. Looking to connect with databases, send emails, or call external APIs? Tools make it possible. ✨ SDK integration gives you the freedom to choose the brain behind your agent — GPT-4, Claude, Gemini… whichever suits your use case best. By the end of this tutorial, you’ll know how to: 🔹 Build and customize your own tools 🔹 Integrate them with agents 🔹 Run them on any AI model you prefer This is where your agents go from answering questions to interacting with the real world 🌏 Watch Part 2 here: https://lnkd.in/dgjNC2fJ And if you missed Part 1, you can catch it here: https://lnkd.in/d-Vwb2cP
Learn how to build and customize tools with ADK-TS and integrate with AI SDKs
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🐙 This Week on GitHub + AI Developers are in the middle of a wave of AI-powered updates: ⚡ Mistral Le Chat adds 20+ connectors, from GitHub to Stripe. ⚡ Warp Code introduces “agent steering” for smarter code reviews. ⚡ Cloudsmith launches its ML Model Registry, integrating with Hugging Face. For GitHub’s ecosystem, these aren’t just add-ons — they’re signals of a future where code, compliance, and collaboration all run with AI in the loop. 💡 What excites you most: better AI code reviews, smarter chat connectors, or centralized model governance?
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🐙 This Week on GitHub + AI Developers are in the middle of a wave of AI-powered updates: ⚡ Mistral Le Chat adds 20+ connectors, from GitHub to Stripe. ⚡ Warp Code introduces “agent steering” for smarter code reviews. ⚡ Cloudsmith launches its ML Model Registry, integrating with Hugging Face. For GitHub’s ecosystem, these aren’t just add-ons — they’re signals of a future where code, compliance, and collaboration all run with AI in the loop. 💡 What excites you most: better AI code reviews, smarter chat connectors, or centralized model governance?
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Introducing the Universal AI Platform Big news: we just launched the Universal CLI Platform - the first developer-first solution that unifies CLIs and IDEs into one seamless workflow. With Zencoder, you can now: ✅ Run your favorite CLIs (Claude Code, Codex & more) inside VS Code & JetBrains ✅ Unlock multi-repo intelligence — AI that understands your whole codebase ✅ Switch instantly between models (GPT-5, Claude, Gemini,…) ✅ Supercharge development with Zen Agents for coding, testing & review This is the end of fragmented AI tooling. No more choosing between powerful CLI tools and feature-rich IDEs. With Zen CLI, you get both. 👀 See it live at our launch webinar: 📅 September 24, 2025 🔗 Register on LinkedIn - https://hubs.la/Q03JW3Bd0 📘 Ready to power your IDE with CLI? Explore our user guide: https://hubs.la/Q03JW3yx0
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AI is really levelling up lesser technical community teams to do amazing things from a design perspective. Higher Logic community platforms make it easy to brand and customize your sites, but there's often a need to take things a step further. Usually, this would require bringing in developers, but we're seeing real examples of individuals using AI tools like Lovable or ChatGPT to help them code custom things into their site. (I don't think AI is replacing software developers, however, most software is quite a bit more complex than this) Here's an example that was shared in the Vanilla Success Community from our customer Glean where they went through their methodology with our community(a platform we're also big fans of here internally at Higher Logic) https://lnkd.in/eVj3_djV
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In our last two tutorials, we explored how to give AI agents real capabilities with ADK-TS: from building calculators to fetching weather data and calling APIs 🧮 ☁️ But what if you could connect your agent directly to Telegram, Discord, GitHub, databases, and dozens of other services… without writing any integration code? That’s exactly what MCP tools make possible. 🔌 MCP (Model Context Protocol) is like a universal adapter for AI agents. Just as USB standardized how devices connect to computers, MCP standardizes how agents connect to external services. With MCP, your agents can: ✔️ Plug into external platforms instantly ✔️ Interact with the ecosystem of tools your organization already uses ✔️ Scale their usefulness without custom integrations In this short tutorial, we show you how to get this done! 📺 Watch Part 3 here: https://lnkd.in/d6vPepbk Full playlist: https://lnkd.in/dySt2yii Know any TypeScript developers? Don't hesitate to share this with them 🤝
MCP Tools in ADK-TS - Connect AI Agents to Any External Service
https://www.youtube.com/
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Introducing `ai-sdk-devtools` for AI SDK development: ✨ Real-time AI stream debugging 🔧 Inspect tool calls (params & timing) 📊 Performance metrics 🔍 Event filtering & search 🧠 Context insights & token usage ⚡ Zero-config setup
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𝗡𝗲𝘄 𝗺𝗼𝗻𝘁𝗵, 𝗻𝗲𝘄 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀: 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁’𝘀 𝗳𝗿𝗲𝘀𝗵 𝗶𝗻 𝗙𝗹𝘂𝗶𝗱 𝗧𝗼𝗽𝗶𝗰𝘀. 💡 AI Enhancements > Chatbot conversations now respect active search filters. > Expanded analytics provide full visibility across Chatbot, Completion, and Translation activities. 💡 Import Configuration Easily transfer configurations between tenants, track recent imports, and set up new environments in minutes. 💡 Customizable Email Alerts Portal Administrators can now customize the content of automatic notification emails sent to users of the Alert feature. This update lets you select which metadata fields appear in alert emails. 💡 YouTube Connector Publish YouTube videos directly in Fluid Topics with the official player. 💡 Faster Reprocessing Our new backend accelerates document reprocessing by up to 2x, delivering speed and scalability. >> And that’s not all, check out the full Release Notes to explore everything we’ve shipped since the last update: https://lnkd.in/eVaTJbr7
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🚀 Just wrapped up a fun experiment — building my first multi-agent workflow in n8n! As PMs, one of our most common (and sometimes painful) processes is taking a product from Ideation → Prioritization. I decided to automate it using a chain of AI agents (powered by Gemini 2.5) connected through n8n. Here’s how it works: ✅ Ideas go into Google Sheets ✅ Each agent refines, processes, and prepares inputs for the next one ✅ Final prioritized output lands back in Google Sheets Along the way, I got hands-on with Google Sheets integration, a bit of JavaScript, and most importantly — the power of workflow automation with n8n. 📹 I’ve put together a quick video of the workflow in action. Would love to hear your thoughts and ideas on how you’d use multi-agent workflows! #ProductManagement #AI #WorkflowAutomation #n8n #GeminiAI
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🚨 Too many errors, too little time? Every developer knows the struggle: Thousands of logs. Endless session replays. No clarity on which bugs actually hurt users. That’s why we built Oopsie AI Instead of treating every error the same, Oopsie uses AI to spotlight the issues that truly impact your users — the UI glitches, broken workflows, and blockers that derail real sessions. 👉 What makes it different? Prioritized error list: only the bugs that interrupt users. Video previews of exact error: see the issue instantly without scrubbing through heaps of sessions. Get better context: stack traces, network logs, payloads, environment. The result: less time chasing noise, more time fixing what matters. We’re already seeing teams move faster, debug smarter, and get closer to their users by using Oopsie daily. 💡 If you’re tired of drowning in irrelevant errors, maybe it’s time to let AI do the heavy lifting for you. Check out Oopsie mobile here : https://lnkd.in/dPqp7heN #ErrorMonitoring #DebuggingTools #DevTools #MobileDev #AppDevelopment #BugTracking #ErrorPrioritization #SessionReplay #DeveloperExperience #UserExperience
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Check out this cool AI-assisted dashboard workflow I just built, powered by n8n and designed with Lovable AI! " This project is a great example of how to automate a process and visualize the data without writing a lot of code." Tools used : Backend : n8n UI : Lovable AI DB : Google Sheets GitHub : https://lnkd.in/gaKPizaJ #AiAgent #n8n #LovableAI #googlesheets #Dashboard #AI #Workflow #Automation Thankyou.
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