When AI Adoption Works: New Problems for Teams

Most organizations focus on getting AI into developers' hands. Few plan for what breaks once adoption actually works. Code generation outpaces CI/CD. Team structures fall out of sync with agent workflows. Senior engineers shift from writing code to directing agents. Coder PM David Fraley maps the failure modes that emerge at scale and the infrastructure decisions that sustain the transition.

We'll cover:

• Why CI/CD becomes the bottleneck after AI rollout
• How team structure must evolve as agents scale
• What sustaining AI adoption looks like in practice

Drawing on patterns from enterprises at every stage of AI maturity, this session gives you frameworks to apply to your own infrastructure decisions today.