In this episode, Pete Hodgson discusses the evolving landscape of AI-assisted engineering, the importance of governance in AI workflows, and how organizations can empower grassroots innovation while maintaining control. He shares insights from his role at Tribe and explores the future of agentic workflows and token economics.

As usual, special thanks to our founding sponsor Navalia! https://navalia.io

00:00 Introduction and Guest Background
04:01 AI Activation and User Excitement
07:40 AI and Software Development Cost Management
10:53 AI Spending and Budgeting in Large Companies
15:29 Future of AI Task Breakdown and Model Routing
19:11 Token Usage and Cost Optimization
22:58 Enterprise AI Budgeting and Cost Control
26:09 Data Privacy and In-House AI Deployment
29:51 Balancing Control and Innovation in AI
30:49 Managing Skill Sprawl and AI Governance
31:37 Standardization and Platform Strategies
32:35 Building Skills Marketplaces and Agentic Ecosystems
33:30 Context Windows and Knowledge Management in AI
34:49 Scaling Grassroots AI with Governance
35:46 Empowering Teams and Sharing AI Skills
36:45 The Role of Governance in Safe AI Adoption
37:42 Creating a Centralized Skills and AI Governance Platform