Almost There But Not Quite

Looking at the steep mountain faces on my recent vacation to the Canadian Rockies, I got a strange thought: If you could teleport yourself to anywhere along the mountain to a (relatively) secure spot, but you didn't have any rock climbing experience, you'd be just as stuck thirty meters off the ground as you'd be 30 meters from the top. For your stated goal of making it up the mountain alive, it's actually irrelevant how close to the top you'd be. Yet the providers of the teleportation device would tout that their's gets you 90% there while the competition only gets you 85% there. Irrelevant. It only becomes relevant if you're a seasoned rock climber with the right equipment and with the route ahead within your capabilities. Then, yes, it totally makes a difference how close to the top you can get teleported.

Such are the dangers of vibe coding and other vibe disciplines. If the AI gets you an app that's almost there, and you don't have that engineering background, then it doesn't matter how "almost" it is. You'll still need to determine what's missing and how to fill those gaps. Better to focus on your area of expertise and use AI to accelerate you on that journey. In short, don't use it to shore up your weaknesses. Use it to double down on your strengths.

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Exponential vs S-Curve