Faster Code Output Won’t Fix Broken Delivery Systems

Andrew Murphy argues that AI-assisted coding tools are accelerating the wrong part of software development. Writing code was rarely the true bottleneck; the real constraints lie in unclear requirements, review queues, deployment friction, weak feedback loops, and organizational dependencies. Applying Goldratt’s Theory of Constraints, the article warns that speeding up a non-bottleneck step only increases unfinished work downstream. The broader takeaway is that sustainable productivity gains come from reducing cycle time and fixing systemic bottlenecks—not from generating more code. 

https://andrewmurphy.io/blog/if-you-thought-the-speed-of-writing-code-was-your-problem-you-have-bigger-problems

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