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The saying about optimization goes, "Time, Cost, Quality: Choose two." You've chosen the two that most profit-minded entities choose, but they are not the only choices.

Optimizing for quality and time can be a winning solution, particularly if you can achieve novelty as well. Countless corporations and founders have had success with the strategy (Apple under Jobs comes to mind.) Optimizing for quality and cost is also viable: Deming preached it, and e.g., Japanese car manufacturers have showed it to be a highly successful strategy.



Notice it's not the engineer doing the choosing in that optimization. You're asking the client to choose. Then you execute.

You can give any number of examples where time has a loose constraint.




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