The Velocity Lab

Dave and Dan open-source Shipwright — the autonomous agent that takes you from PRD to production with almost no human intervention. 500 PRs, barely a line of code read. The pitch: refusing a free 10X of your team is a choice you'll have to justify.

Show Notes

Episode Summary

Major announcement: Dave and Dan are open-sourcing Shipwright, the autonomous coding agent they've been building since November. It takes you from PRD to production deployment with no human intervention ~99% of the time — and it built itself. Across ~500 pull requests, they say they barely read a line of code. The core provocation for leaders: if a free tool can 10X your engineering throughput and you choose not to adopt it, that's a decision you'll have to justify.

Key Topics

  • Open-sourcing Shipwright (MIT) — PRD → plan → code → tests → PR → CI → review → merge → deploy, mostly hands-off
  • "Shipwright built Shipwright" — ~500 PRs, the founders read essentially none of the code
  • The 14-step dev-task checklist (TDD, green CI, docs) vs. raw Claude Code's half-baked PRs
  • Human-in-the-loop only where it must be — Terraform applies, secret/key updates, GitHub access
  • Run it in your own cloud (EC2/EKS/AKS/Kubernetes) — you control security, secrets, and tokens
  • The economics: 10X throughput for free, but it also 10X's token spend and pressures headcount
  • Portable by design — a thin Claude shim means it can move to OpenCode/Pi and open-source LLMs later

Notable Quotes

  • "If you have an engineering team and you're choosing not to adopt this, you are choosing not to 10X your throughput on purpose."
  • "Shipwright created Shipwright. It has 500 pull requests... I didn't look at a single line of code."

About The Velocity Lab

Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field.

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What is The Velocity Lab?

Dave O'Dell and Dan McAulay work inside engineering organizations every day, helping them ship faster with AI — not in theory, but inside their actual teams. Each week they share what they're seeing in the field: what's working, what isn't, and what most people are getting wrong. Covering Claude Code updates, AI-enabled SDLC acceleration, and personal AI agents. No hype, no BS.