Your GenAI Feature Scales Until Retrieval and Latency Collide
Generative AI for software development does not fail first because the model writes bad code; it fails first because the organization cannot review, test, attribute, and govern the extra code volume. My position is deliberately narrow: a product manager should scope the rollout as a throughput and control-plane project, because assistant licenses are easy to buy and hard to operationalize.
The first bottleneck is human review, because AI increases change volume before it increases trust
The uncomfortable scaling limit is not prompt quality; it is reviewer capacity, because generated code…
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