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  • 20. April 2026

Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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Move beyond monolithic agents. Discover 8 design patterns for Multi-Agent Systems (MAS) using Google's Agent Development Kit (ADK) to build smarter, more reliable AI applications.
9. Januar 2026
GenAI Updates

Developer’s guide to multi-agent patterns in ADK- Google Developers Blog

If you’ve ever tried to build a single AI agent that does everything, you already…

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Demystifying evals for AI agents
9. Januar 2026
GenAI Updates

Demystifying evals for AI agents

Demystifying evals for AI agents Good evaluations keep agents useful, predictable, and less likely to…

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This video features a keynote by Aemal Sayer, CTO and co-founder of Avanai, delivered at the n8n Business Lab in November 2025. He discusses the application of AI agents in a business context. The talk includes practical examples and a live demo of an AI agent built with n8n.
9. Januar 2026
GenAI Updates

AI Agents & n8n for Business Leaders

I just watched a clear, practical keynote that feels like a conversation you’d have with…

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This video explains how to build robust, testable, and reliable enterprise AI applications by 'programming with LLMs' using DSPy, rather than just tweaking prompts. It covers DSPy's core concepts: Signatures, Modules, Adapters, and Optimizers. The presentation includes real-world examples and demonstrates how optimizers improve performance.
9. Januar 2026
GenAI Updates

DSPy for Robust Enterprise AI Applications

If you’ve been building with large language models, you know how fragile prompt-based systems can…

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The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra - bytedance/UI-TARS-desktop
8. Januar 2026
GenAI Updates

GitHub – bytedance/UI-TARS-desktop: The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

Meet UI-TARS-desktop: an open, local GUI for multimodal AI agents If you like tinkering with…

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Give Claude Code an external monitor. Contribute to dvdsgl/claude-canvas development by creating an account on GitHub.
8. Januar 2026
GenAI Updates

GitHub – dvdsgl/claude-canvas: Give Claude Code an external monitor

Ever wished your AI could have its own little monitor, not just a chat window?…

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Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows! This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the Claude Agent SDK. The session moves from high-level theory to a live-coding demonstration, defining agents as autonomous systems that manage their own context and trajectory.
8. Januar 2026
GenAI Updates

Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

I watched Thariq Shihipar’s workshop on the Claude Agent SDK and came away feeling both…

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Mike
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Practical guides and code examples for building with Claude. Learn prompting techniques, tool use, multimodal capabilities, and more.
8. Januar 2026
GenAI Updates

Claude Cookbook

Claude Cookbook is the kind of practical resource you actually want on your bookmarks bar,…

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I have published the whole agents, skills, commands, hooks files that I use as a "project-starter". Check it out https://t.co/1fOMe2jOeL
8. Januar 2026
GenAI Updates

AI Project Starter: Agents, Skills, Commands & Hooks Files Ready to Use

CloudXDev has just published a ready-to-use set of files — **agents**, **skills**, **commands**, and **hooks**…

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This workshop explores how Large Language Models (LLMs) manage knowledge, distinguishing between ephemeral context and persistent weights. It critiques current reliance on large context windows and RAG for "long-tail" knowledge due to cost and latency. The core argument advocates for efficiently injecting specific knowledge directly into model weights to improve performance for niche tasks.
8. Januar 2026
GenAI Updates

LLMs Explained: Context Stuffing vs. Updating Model Weights

A practical look at LLM memory: stuffing context vs updating weights If you’ve ever shoved…

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