Couverture de AI Scaffolding and the Judo-throw of Engineering Resistance

AI Scaffolding and the Judo-throw of Engineering Resistance

AI Scaffolding and the Judo-throw of Engineering Resistance

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 This week, Josh Corman and Chad Jackson explore AI-assisted workflows in engineering, break down how internal resistance can actually improve improve transformation outcomes, and dig into the pain points associated with MBSE adoption. In this episode, we discuss:
  • AI-Native Workflows: We deconstruct the concept of “AI Scaffolding”—a method to provide engineering models with a “memory” by using document-based inputs to maintain constraints and context.
  • Reframing Resistance: Chad introduces the “Judo Throw” of resistance, explaining how savvy change agents use pushback to build investment and uncover project-threatening flaws early.
  • The Systems Engineering Struggle: Why the #2 challenge for MBSE is the learning curve, and how AI-powered “vibe coding” might help simplify SysML modeling.
  • Research Findings: Insights from our recent study and what we’re learning from the 300+ respondents.
Join the conversation on LinkedIn:
  • Follow Chad
  • Follow Lifecycle Insights
  • Benedict Smith's post on AI-native workflows.
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  • Lifecycle Insights | InsightEX
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