Ensemble coding means James Herr and Arthur Morrow spend most of their workday on the same task at the same time.
In this episode, the two engineers join Matt Sharp and Holly Fake to unpack what AI pair programming looks like on their team and how AI agents have changed the practice.
Their conversation covers how their team splits navigator and driver roles, why the hardest part of AI implementation has shifted from writing syntax to getting the architecture right, and what happens when multiple people run the same prompt through Claude Code and get different results. AI lets junior engineers produce far more code than senior engineers can review, and ensembling might be part of the fix.
It's not unique to Flexion, and how this team is adapting could be worth a look for any organization feeling the same pressure.
Subscribe to the Learning Curve for real conversations about AI at work, AI implementation, and what it actually looks like to build with AI inside a technology company.
What is The Learning Curve?
The Learning Curve is Flexion’s podcast about navigating change in complex systems — one decision at a time. Each episode explores how organizations can harness technologies like AI not just to follow trends, but to drive measurable impact.
In this season, we’re exploring:
-How real teams are building trust and transparency with AI
-The practical realities of enterprise AI adoption
-Lessons learned from Flexion’s own journey, experimenting with and scaling AI
This isn’t hype. It’s an inside look at the mindset, structure, and strategy needed to lead in an era of continuous change.