Skills
Founder & CEO Leadership
The operational and interpersonal skills technical founders need as they scale from builder to CEO. Covers board management, co-founder dynamics, crisis communication, executive decision-making, managing through downturns, and culture scaling.





- +20
Agentic Engineering
How teams build software when AI coding agents write the code: directing agents, what code review and validation become when code is nearly free, durable systems with disposable code, orchestrating many agents, keeping them safe inside an organization, and how roles change.





- +15
Agent Infrastructure
The runtime substrate for AI agents: the machine an agent runs on, sandboxes and isolation, agent memory and learning, durable execution and harness design, and the performance and cost of running agents.





- +13
Content from the Library
The Kubelist Podcast Ep. #54, The Age of Personalized Software with David Crawshaw
In episode 54 of The Kubelist Podcast, Marc and Benjie sit down with David Crawshaw. David shares how a weekend WireGuard experiment became Tailscale, and how a series of unsuccessful developer-tool experiments eventually became exe.dev. The conversation offers a candid look at product discovery, technical failure, cloud economics, and building infrastructure for AI agents.
Code Review Has to Go
Agentic development doesn't just change how we write software — it reveals how much of our traditional process is obsolete. Pair review, approval gates, bureaucratic guardrails: cozy rituals from a time when humans wrote every line. David Crawshaw, cofounder of Exe.dev, is ready to rant for change.
High Leverage Ep. #11, Why Agents Need Computers with David Crawshaw
On episode 11 of High Leverage, Joe Ruscio speaks with David Crawshaw about the shift from traditional developer infrastructure to agent-native computing. David traces lessons from founding Tailscale to now building exe.dev around the idea that “agents need a computer.” The conversation explores why VMs may be the right primitive for AI coding agents, why deployment friction becomes unacceptable when software can be generated in minutes, and how agent-driven development changes code review, production workflows, security, and the economics of personal software.







