Show Notes
This episode is a wide-ranging conversation that starts with a storm anecdote and quickly centers on practical questions about measuring AI-driven productivity, the human friction that accompanies adoption, how teams build trust in LLM-generated code via testing and spec-driven workflows, and the...
More from AI Infrastructure
Kai Hendry and Vincent De Smet debate build versus buy in the age of AI, infrastructure testing, agent workflows and the human bottlenecks in enterprise delivery.
Conference plans, agent harnesses, AI-assisted Terraform reviews, and the engineering practices that make delivery faster.
Always-on agents promise freedom, but reviews, CI, model costs and human accountability still shape what we can build.
AI agents can write code faster. But every change can still get stuck waiting for an approval, a merge button or an hour-long CI run.
Is the terminal becoming the IDE, or is the IDE becoming an agent? Kai has spent two days living in Orca, a terminal-shaped harness that runs Claude Code, Codex and friends side by side, with worktrees, a diff pager you can comment on, and a mobile app that talks to your laptop over your own LAN.