What AI Engineering Looks Like at Meta, Coinbase, ServiceTitan and ThoughtWorks

What does it take to make AI work inside engineering teams?

This high-stakes compilation episode with Ian Thomas (Meta), Wesley Reisz (ThoughtWorks), Sepehr Khosravi (Coinbase), and David Stein (ServiceTitan) goes inside the engineering rooms of the world's most sophisticated tech organisations to uncover how they're moving past AI hype into AI-native production.

On the docket:
• How Meta achieved 80% weekly AI adoption through grassroots community building instead of top-down mandates
• Why ThoughtWorks uses the RIPPER-5 framework to structure AI workflows and prevent agents from jumping straight to code
• When Coinbase engineers use Cursor versus Claude Code and why sub-agents are critical for managing context without bloat
• How ServiceTitan migrated 247 legacy metrics in three weeks using self-healing validation loops and standardized agent tasks

If you're trying to make AI useful inside your team, this episode shows exactly what matters.

Connect with us here:

Ian Thomas: linkedin.com/in/anatomic/?originalSubdomain=uk
Wesley Reisz: linkedin.com/in/wesreisz
Sepehr Khosravi: linkedin.com/in/sepehrkhosravi
David Stein: linkedin.com/in/steindavidj
Simon Maple: linkedin.com/in/simonmaple
Tessl: linkedin.com/company/tesslio
AI Native Dev: linkedin.com/showcase/ai-native-dev

Resources:

AI Scouts - aiscouts.org
Thoughtworks’ knowledge base insights - thoughtworks.com/en-sg/insights/blog/generativ…
Check out Birgitta Böckeler’s full EP - youtu.be/uYmSco0s6Xo?si=FIK293aJXu3sxvt6
Cursor’s community forum -forum.cursor.com/t/i-created-an-amazing-mode-c…