Weekly Roundup: AI Scaffolding and the Judo-throw of Engineering Resistance

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.

Visit our site to learn more about InsightEX and sign up for our newsletter.

• Lifecycle Insights | InsightEX