AI is entering every phase of embedded development, from architecture and coding to testing and security. For embedded teams, the question is no longer whether to use AI, but how to use it without losing control over quality, traceability and compliance.
In our new whitepaper, our Solution Experts André De Ceuninck and Gevorg Melikdjanjan share a practical approach based on their talk at the Design & Electronics Conference 2026.
What you'll read
How AI fits into the classic embedded development cycle
Architecture monitoring with Lattix & MCP
An automated build and test chain with IAR, C-STAT and RazorCAT TESSY
Embedded security with the Exein Embedded Security Platform
What the CRA and RED 3.3 mean for AI in product development