Description
As generative AI begins to automate software engineering, new principles are emerging that also apply to Design and Make processes. AI-enabled development shifts the focus toward clear requirements, structured documentation, and rigorous validation to guide and verify generated outputs. While execution becomes increasingly automated, professional oversight remains critical to ensure reliability and quality. This talk will explore how these lessons can transform Design and Make workflows enabling faster design execution with AI while elevating the importance of design and manufacturing specifications, thoughtful application of AI where it adds value, and expert-driven verification to build trust in AI-enabled workflows.
Key Learnings
- Discover how detailed requirements are critical in AI-enabled workflows.
- Learn how human expertise is vital for Design and Make verification.
- Learn how AI can accelerate productivity when applied in the right way, with expert guidance.
- Learn how using AI in a structured way guarantees trustworthy outputs.
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