~/talk

Agents Don't Do Standups: Building the Post-Engineer Engineering Org

slides:none on file

A three-month case study at PFF pits two engineers against ten on the same codebase and finds the small pair deploy five times a day versus the ten-person team's once every five days yielding a 25x deployment frequency and measured output ~10x by ticket complexity while customer satisfaction rises. Workflows rewire into spec → LDD → ticket → PR, agents auto-update ticket status, agents handle style and naming while humans keep system design, and a QA agent spins up on staging to verify acceptance and seed self-healing PRs.

AI-written summary · about

  1. 0:00Introduction to the case study at PFF
  2. 1:47The shift: optimizing for agent speed rather than engineer speed
  3. 2:28Results: 25x increase in deployment frequency
  4. 3:16Measuring success through ticket complexity and customer satisfaction
  5. 4:53Dismantling Scrum and traditional development processes
  6. 5:58The new development workflow (Spec → LDD → Ticket → PR)
  7. 6:51Eliminating coordination overhead (no sprint planning or standups)
  8. 8:28Best practices for implementation and team selection
  9. 10:09Utilizing agents for deterministic tasks and code reviews
  10. 12:00Viewing the engineering lifecycle as a factory
  11. 13:06Automated QA and the future of self-healing systems
  12. 14:10Where human oversight remains essential
  13. 14:48Strategic advice for scaling AI-driven engineering
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