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Coding is figured out. Engineering is back. That's the shift, and it's already showing up in who excels and who gets stuck.
Carrick Carpenter, Chief Technology and AI Officer at Aditi Consulting, sits down with Andrew Duncan for a peer conversation about what actually changes inside a services firm when AI rewires the delivery model. Aditi runs 2,000+ employees, 70+ Fortune 500 clients, three continents. Andrew runs Vertice Labs at the boutique end. Same tension, different scale.
They go past "AI-native" positioning into the mechanics: why roles are collapsing, what a 90-pull-request engineer looks like in practice, why the people best at AI burn out fastest, and what Carrick got wrong in his first four months on the job.
Topics
- Why engineering is back and what that actually means
- The 90-pull-request engineer and how to scale the pattern
- Cycle time as the new delivery metric
- The capacity paradox inside services firms
- Full stack leaders and collapsing roles
- What AI-native actually looks like at Fortune 500 scale
- Burnout risk for AI-native teams
- Outcome-based contracts and enterprise procurement
- SaaS in the agentic era
Guest
Carrick Carpenter, Chief Technology & AI Officer at Aditi Consulting
LinkedIn: https://www.linkedin.com/in/carrickcarpenter
Aditi Consulting: https://www.aditiconsulting.com
Resources mentioned
Claude Code: https://claude.com/product/claude-code
OpenClaw: https://en.wikipedia.org/wiki/OpenClaw
Gong: https://www.gong.io
MCP: https://modelcontextprotocol.io
Salesforce: https://www.salesforce.com
Slalom: https://www.slalom.com
Vertice Labs: https://www.verticelabs.io
Connect
Andrew Duncan: https://www.linkedin.com/in/andrew-b-duncan/
Vertice Labs: https://www.verticelabs.io
Subscribe
Spotify: https://open.spotify.com/show/64yoHwDdhBd0vik2sev6xs
Apple Podcasts: https://podcasts.apple.com/gh/podcast/shipping-excellence/id1794200466