How Flow Works and other Curiosities
summary
Explains why 42 of 47 days are waiting not working with a concrete value stream example (47 days vs 5 days), uses queuing theory to show congestion collapse and argues shared test environments should be nuked from orbit. Applies Information Theory, Complexity Science, Accelerate, Team Topologies and microservices, uses event‑storming, NetLogo agent simulations and epi_rust/BarrettSim for epidemiology to illustrate phase transitions, and claims that platform self‑service (MMCQ, C→∞) plus WIP limits and batch‑size reduction yields orders‑of‑magnitude faster delivery.
AI-written summary · about
chapters (9)
- 0:00Introduction and opening quote
- 2:54How flow works
- 11:47Economic cost of wait time
- 20:07Optimizing flow with platforms
- 27:06Generative science and simulations
- 31:15Congestion collapse and throughput
- 39:15Batch size reduction benefits
- 44:13AI and organizational processes
- 47:40Answering the Lego question
