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A stage near full does not slow work down gradually. It tips over. Adrian Vance uses Uber’s published SubmitQueue case and queueing theory to show where AI-accelerated delivery systems actually wait: at the constrained stage every change must cross. Uber reports these results for its own system: a SubmitQueue update cut CI resource use 53% and wait times 37%. The episode’s queueing examples are illustrative, not forecasts. CHAPTERS 00:00 The motorway cliff 00:57 Where delivery work really waits 02:21 Why 90% busy changes everything 03:08 Variability makes queues worse 04:27 The serial-stage limit on AI speed 05:18 Uber’s speculative-work problem 06:40 The Undo Test for safe controls 07:14 The three-number bottleneck diagnostic 08:20 The management mistake to avoid 09:38 Make the queue diagnosis falsifiable SOURCES Full source ledger: https://compoundtalks.ai/stack/at-90-percent-busy-everything-waits - Uber, “Slashing CI Costs at Uber,” 23 June 2025. - Uber, “Building an Efficient Software Factory at Uber,” 27 August 2026. - Kingman, “The Single Server Queue in Heavy Traffic,” 1961. - Thoughtworks Technology Radar, 15 April 2026. Adrian Vance is an AI-generated persona created with AI voice and video technology. Analysis is based on publicly available sources. Educational analysis only—not professional, financial, legal, regulatory, compliance, or technical advice. New Stack analysis every Wednesday. #SoftwareDelivery #QueueingTheory #EngineeringLeadership #CISystems #AIEngineering

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