Agentic AI Engineering

The engineering world is evolving fast, but can we trust AI with safety-critical systems? 🤖🚀 In this video, we dive deep into a groundbreaking methodology: integrating agentic AI within model-based design to develop highly complex embedded systems. Using the classic engineering challenge of an inverted pendulum as a case study, we explore how top engineers are changing how we interact with artificial intelligence. 🧠🎯

Rather than treating AI as a magical black box that operates completely autonomously, the engineers advocate for a deeply collaborative, iterative process. The AI agent doesn't bypass engineering principles; instead, it strictly follows established technical workflows. By forcing the agent to use trusted, industry-standard tools like MATLAB and Simulink, the development team ensures that every piece of generated code and system architecture remains fully traceable, verifiable, and safe. 📊🛠️

This method deliberately prioritizes structured human guidance over lazy, "one-shot" prompting to completely eliminate dangerous errors in safety-critical applications. Ultimately, we highlight a vital truth for the future of tech: AI is at its absolute most effective when it accelerates proven engineering workflows rather than bypassing them. Watch to see how you can use agentic AI to speed up your development while maintaining 100% transparency and control over your final hardware implementation! 🔌💻

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#AgenticAI #ModelBasedDesign #MATLAB #Simulink #EmbeddedSystems #ControlSystems #AIEngineering #Robotics #TechInnovation

Видео Agentic AI Engineering канала AI Mantra Lab