"By the end of this talk, attendees will be able to: - Reimagine embedded development workflows using agentic AI instead of manual coding pipelines - Understand how to go from idea to firmware to deployment faster (10x faster dev cycles) - Break down embedded systems into AI-operable components (firmware, drivers, protocols, hardware abstraction) - Adopt agentic systems for real-world use cases like IoT devices, cameras, robotics, and industrial systems - Evaluate how to integrate AI into their existing embedded stack (without full rewrite)" "- Learn how LLMs + system-level context can generate production-grade embedded code - Understand limitations of current copilots vs true agentic systems - See how hardware-aware AI systems differ from generic GenAI tools - Discover how to reduce dependency on large firmware teams - Explore future of autonomous electronics development"