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[ARTICLE · art-90091] src=marcusoft.net ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

AI Flow - a thought on throughput

In a blog post, an unnamed author argues that the software industry is repeating past mistakes by focusing on output, efficiency, velocity, and productivity in AI-driven development, calling this 'productivity theater' without clear goals and value. The author, who cites AI models like Opus as a catalyst, plans to write more posts on the topic, starting with an analysis of what throughput really means.

read1 min views12 publishedJul 12, 2026

The world of digital product development has changed forever with the advent of AI models like Opus (that was the first to make me realize this). In fact, many other industries have also changed, but I’m going to stick with what I know. And ever since I started to realize that code will be written by agents that instruct I immediately got a sense that we (the industry) are making age-old mistakes that we and other industries have made, fixed and now comes back to. We are focusing a lot on the things that rubs me the wrong way; output, efficiency, velocity and productivity. None of those are bad per se but without knowing the goal, something about the value, stating effects impact etc… They become productivity theater I realized that I hadn’t thought this through properly and decided to write a few post on it. This is one on what throughput really means. I’ll link the others here as I write them.

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