The common claim that AI has shifted the software delivery bottleneck from coding to code review is wrong on two counts: coding was never the bottleneck, and neither is code review. The real constraint is the accumulation of changes in batches that never reach production users. Only 8% of teams deploy changes independently; the other 92% work in batches, meaning their true bottlenecks are things like manual verification steps, change approval boards, or difficult deployment pipelines. AI accelerating coding only adds pressure to these hidden constraints. The fix is to identify where changes pile up in your value stream and apply the Theory of Constraints to manage the real bottleneck.
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The desire for fast software deliveryThe two errorsBatches are signpostsBut… the dataTags:6.5K Impressions1 Comment