[evolve2k]

A core principal from Toyota Lean Production and Demings TQM, is that a critical way to increase quality is to address waste coming upstream, including the waste of fixing defects.

The argument that “AI runs so quickly” reminds me of the American manufacturing technique of making a machine lunch out widgets whether they were needed or of not to maximise throughput. As any lean practitioner knows this leads to multiple additional wastes including excess work in progress and wasted movement.

How do you see this principal lines up with current AI arguments?

[eries]

Oh my God, we're seeing this kind of waste of overproduction everywhere with AI. In fact, I've noticed that even when I vibe code a product, I often wind up adding tons of additional features that I didn't plan to, simply because the AI makes it convenient to do so. I even feel the vision for the project starts to drift in line with what the AI wants rather than what I want.

[eries]

I guess I should also say that the one tool that I've used that doesn't do this is the one made by my friends at Answer.ai called solveit. You can check it out here at solve.it.com