Software development used to begin with local setup headaches, dependency mismatches, and “it works on my machine.” Now, the environment spins up in the cloud. The editor follows you. The assistant writes alongside you.
In this episode, Duncan Mapes and Jason Ehmke explore what tools like GitHub Codespaces and Codex really mean for the future of software development not just in terms of speed, but also in terms of responsibility.
They unpack how velocity is shifting when AI can generate code instantly, how developers are rethinking environment management, and why craftsmanship looks different in a world where automation handles the mechanics. But they also wrestle with the hard questions: What happens to velocity measurement? How do teams maintain quality? Where does human judgment matter most?
More than getting faster, software development is becoming structurally different. AI changes the relationship between engineers, tooling, QA, and production.
The real question isn’t whether to adopt these tools. It’s whether your organization understands the second-order effects of adopting them.