Summary
Cole Medin, a software engineer turned AI educator who has trained dozens of engineering organizations, shares the full recording of his two-hour AI Native Engineering Org Workshop. The session targets engineering leaders, developers, and PMs who want to move their teams from ad-hoc AI experimentation to a standardized, fully AI-integrated software development lifecycle using coding agents.
Medin argues that the biggest barrier to enterprise AI adoption is not tool availability but inconsistency — every engineer on a team uses AI differently, producing unpredictable results. His solution is to embed agent rules, skills, and workflows directly into the repository so that any developer who clones the codebase immediately has access to the same AI configuration with zero individual setup. The workshop demonstrates this end-to-end: from using a `/spec` skill to convert a Notion PRD page into structured Jira tickets, through AI-assisted implementation and QA, to validation in production.
The workshop draws on Medin’s hands-on experience building AI systems at Ameriprise Financial (a Fortune 200 company) and subsequent consulting work across multiple organizations. He covers how PMs can use coding agents to break down requirements, how developers can maintain consistency with shared agent rules, and how QA fits into an AI-native cycle. The session includes substantial live Q&A and is structured to give teams a concrete starting point for transformation rather than abstract principles.
📺 Source: Cole Medin · Published August 17, 2026
🏷️ Format: Workflow Case Study
