AI-Driven Network Automation Recipes and Lessons | Ep. 89
Let's explore how artificial intelligence is reshaping network automation, delivering smarter, more adaptive workflows for engineers and IT teams. We will highlight practical approaches to integrating AI with established tools, such as generating network configurations from natural language and automating troubleshooting. Some key lessons from real-world implementations (so far)—what works, what to watch out for, and how to get started safely and effectively with AI in your automation journey. Join us to see how AI-driven automation can transform network engineering.

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Accelerate your tasks with Gemini CLI | Ep. 88

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Protein-Hype wissenschaftlich geprüft

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Dev Containers, Debugging, and Network Automation | Ep. 98

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Standalone Activities Announcement @ Replay 2026 | Durable Job Processing with Standalone Activities

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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They Lied to You About AI (This Study Proves It)

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Everything We Got Wrong About Research-Plan-Implement - Dexter Horthy

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Coding the Network: From Network as Code Fundamentals to AIOps | Ep. 101

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NetClaw - An OpenClaw AI Agent that Claws Through Your Network

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Spec-driven Development: How AI Changed Everything (And Nothing) by Simon Martinelli @ Spring I/O 26

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Network AI Agents in Action | Ep. 97

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MCP Tutorial: Build Your First MCP Server and Client from Scratch (Free Labs)

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MCP Demo using Python, AI and a self healing network (Model Context Protocol)

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How AI agents & Claude skills work (Clearly Explained)

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Full Walkthrough: Workflow for AI Coding — Matt Pocock

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AI Bubble: How AI's push towards IPOs became a death drive | Ed Zitron

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

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