What this episode covers
A software engineering leadership conversation about how AI changes developer workflows, review loops, tooling, and the shape of high-performing teams.
Why this matters in practice
AI-assisted engineering changes implementation speed, but teams still need strong review, tooling, and ownership around the resulting software.
Key takeaways
- How developer workflows are changing
- What AI agents mean for engineering managers
- Vercel lessons from modern web engineering
- How teams should adopt AI tools
The future of software engineering is a tighter loop between intent, implementation, review, and deployment.
Related topics
More episodes
- Evals - Beyond the Vibe Check | LangChain, Langfuse, Mercor, CoreWeave & GalileoLangChain, Langfuse, Mercor, CoreWeave and Galileo
- The State of Computer Use Agents | Anthropic, Browser Use & KERNELAnthropic, Browser Use and KERNEL
- Spencer Whitman - Gray Swan AI's $200M Plan to Secure AI SystemsSpencer Whitman — Gray Swan AI