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Develop All Your Features 4 Times and Pick the Best

Codex has this new feature that changes everything: develop every feature four times and pick the best implementation.

Develop All Your Features 4 Times and Pick the Best

Codex has this new feature that changes everything: develop every feature four times and pick the best implementation.

You're probably thinking "that's insane, that costs 4x as much." But consider it differently: four developers each solving the same problem their way. Three lose, one wins. Then you get those three back for the next task, hoping you picked them differently this time.

There's no emotional attachment. No developer getting upset they weren't selected. They just come back for the next round.

In traditional development, you're locked into whoever built it first. In this model, you're optimizing for the best solution, period.

This is where costs become irrelevant if you can generate four clean implementations and pick the strongest. You're not paying for waste - you're paying for quality selection.

The mental shift is profound. When your bottleneck becomes "which of four good solutions do I prefer" instead of "is this solution good enough," you stop optimizing for cost and start optimizing for excellence.

Nothing is stopping you from doing this right now with any AI tool. Generate a feature four ways. Pick the best. Iterate.

Welcome to the world where iteration depth beats iteration speed.