AI makes writing code easy, but it hasn’t made that code safer or easier to manage. This has created an AI Velocity Paradox: while 45% of AI-assisted teams deploy daily, nearly 70% of heavy users report that generated code causes deployment issues at least half the time. Teams are moving faster, but often straight into instability.This session explores why rapid code creation is amplifying downstream bottlenecks and increasing operational strain. We’ll examine how fragmented toolchains and manual handoffs turn AI speed into a liability.Finally, we’ll shift to practical patterns used by high-performing organizations to absorb continuous change safely, including:• Standardized Golden Paths: Reducing coordination overhead via unified pipelines• End-to-End Automation: Extending AI benefits beyond coding into validation and delivery• Progressive Delivery: Using feature flags and controlled rollouts to minimize blast radius and ensure rapid recovery
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