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  • 18. Februar 2026

Hey-GPT.de – Daily GenAI News Digest

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Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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After building your first single agent, the next challenge isn't making it smarter, it's making multiple agents work together without burning through your token budget or creating coordination chaos.
16. Januar 2026
GenAI Updates

Agents 201: Orchestrating Multiple Agents That Actually Work

Agents 201: Orchestrating Multiple Agents That Actually Work The recent guide shared on X presents…

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Mike
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Why Adding More Rules Makes Your Agent Worse
11. Dezember 2025
GenAI Updates

The Context Trap Every Agent Builder Falls Into

The Context Trap Every Agent Builder Falls Into You’ve been there, I bet. You spin…

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Mike
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12 Lessons to Get Started Building AI Agents. Contribute to microsoft/ai-agents-for-beginners development by creating an account on GitHub.
13. November 2025
GenAI Updates

Agentic Design Patterns: 12 lessons to get you started

Agentic Design Patterns: 12 lessons to get you started If you’ve ever opened a GitHub…

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Mike
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Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, “Manus”, and “Claude Code” have gotten around this limitation by
11. November 2025
GenAI Updates

Deep Agents (LangChain.com)

Deep Agents: How LLMs Go From Shallow Helpers to Real Problem Solvers You’ve probably played…

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Mike
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10. November 2025
GenAI Updates

Patterns in LLM Agent Interaction

Patterns in LLM Agent Interaction If you’ve ever stared at a dense diagram of AI…

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Mike
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Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.
5. November 2025
GenAI Updates

Code execution with MCP: building more efficient AI agents

Code execution with MCP: building more efficient AI agents If you’ve ever watched an agent…

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Mike
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Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
17. Oktober 2025
GenAI Updates

Effective context engineering for AI agents

Context Engineering: Designing Attention for Reliable AI Agents Introduction Context Engineering: Designing Attention for Reliable…

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Mike
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