Jacob Beningo concludes his embedded software modernization framework series by discussing the establishment of metrics scoreboards for embedded systems development. He explores various metrics categories including code quality, performance, and security, with a deep dive into cyclomatic complexity as a powerful but underutilized metric among embedded developers. Key Takeaways: • Metrics scoreboards provide visibility into quality, predictability, and improvement opportunities in embedded d...
Jacob Beningo explores how artificial intelligence and machine learning can modernize embedded systems development, sharing practical examples and dispelling myths about AI's applicability to embedded development. He demonstrates how AI can accelerate development workflows, from requirements gathering to code generation, while emphasizing an iterative, agile approach rather than fully autonomous AI development. Key Takeaways: • AI can provide 2x performance improvements for embedded develop...
In this episode, Jacob explores simulation for embedded systems as the seventh step in modernizing embedded development. He discusses functional simulation, on-chip simulation, and software architecture simulation, demonstrating how proper abstraction enables developers to validate code before hardware is available. Jacob provides a practical demonstration of simulating a push button module with debouncing algorithms, showing how modern software architecture can dramatically improve embedded ...
In this episode, embedded systems expert Jacob Beningo explores test-driven development (TDD) as the fourth step to modernize embedded software development. He addresses common misconceptions that TDD doesn't work for embedded developers, demonstrates how proper software architecture enables effective testing, and explains the mental shift required to write tests before production code for higher quality, more reliable embedded systems. Key Takeaways: • Test-driven development requires writ...
Embedded systems expert Jacob Beningo explores five major industry trends for 2026, focusing on how AI-assisted development, security requirements, and platform-based engineering are reshaping embedded software development. This comprehensive analysis covers emerging technologies and methodologies that microcontroller-based system developers need to understand to stay competitive in the evolving embedded systems landscape. Key Takeaways: • Use AI to create custom development tools rather th...