Ryan and Luca explore practical techniques for using AI to debug embedded systems -- from analyzing breadboard photos to parsing UART output and managing complex debugging workflows. LLMs work best as force multipliers rather than replacements for en... more
Is test-driven development still relevant when AI can generate thousands of lines of code from a prompt? Ryan argues TDD was designed for human limitations -- if AI can generate complete systems, why write tests first? Luca pushes back: tests are you... more
In this episode, Ryan and Luca sit down with Darwin Sanoy from GitLab to explore the intersection of systems engineering, embedded development, and AI. Darwin brings a wealth of experience from his work in ISO 26262 certification and MIT Systems Arch... more
In this episode, we sit down with Joe Schneider, founder of Dojo5 and creator of the EmbedOps framework, to explore how AI is transforming embedded development pipelines. We discuss the practical applications of AI in CI/CD workflows—from summarizing... more
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