#022 - 2026 Embedded Systems Trends
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Key Takeaways:
• Use AI to create custom development tools rather than just copying code, potentially saving months of development time annually
• Security is no longer optional due to regulations like CRA - threat modeling and secure boot processes are now requirements
• Platform-based engineering is driving adoption of modern tools like CMake, VS Code, and Zephyr RTOS across silicon vendors
• C++ continues gradual adoption in embedded systems, growing from 3% to 30% market share over 20 years while C remains dominant
• Functional simulation techniques can reduce debugging time by 50%, saving significant development resources when combined with AI tools
• Edge AI and tiny ML are poised for resurgence as microcontrollers gain more compute power and specialized processing units
• DevOps adoption varies widely, with basic Git and compilation pipelines being minimum requirements for modern development
• West manifest tools are becoming important for managing complex multi-repository platform projects
• AI should enhance expertise rather than replace fundamental embedded systems knowledge and skills
• Copy-paste culture threatens to erode deep embedded systems expertise needed for solving complex hardware-software integration issues
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