The article argues that organizations implementing AI coding assistants to boost code-writing velocity are optimizing the wrong bottleneck. Using Eli Goldratt's Theory of Constraints, the author demonstrates that coding speed is rarely the limiting factor in software delivery—faster code output without addressing downstream review, testing, and deployment queues creates inventory buildup, longer cycle times, and reduced actual shipping velocity. The piece identifies the real bottlenecks: unclear requirements, unaddressed review/QA/deploy pipelines, and the comprehension risk of unmaintained AI-generated code.
Strategy
If you thought the speed of writing code was your problem, you have a problem
AI coding assistants create a false efficiency gain—writing code faster without fixing review, testing, and deployment bottlenecks just inflates inventory and slows shipping velocity.
Tuesday, April 21, 2026 12:00 PM UTC2 MIN READSOURCE: Sidebar.ioBY sys://pipeline
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strategy
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