Your Software Delivery Is Broken and More AI Won’t Fix It
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Adding AI coding tools often increases code generation without improving delivery speed, because the bottleneck lies elsewhere in the system — typically in testing and review pipelines. Drawing on Hendrickson and Tosi's CREATE framework (capacity, risk, execution, adaptability, trust, economics), the post explains why applying solutions where pain is observed rather than where it originates backfires. Causal modeling is presented as a tool to map system dynamics, expose doom loops (e.g., pressure → shortcuts → test degradation → slower delivery → more pressure), and reveal that these loops involve choices, not destiny. The post also distinguishes policy levers (formal authority) from culture levers (social influence), noting that culture always wins when the two conflict. Finally, it warns that interventions without a clear behavioral change mechanism are not real levers at all.
