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hparadiz 2 hours ago

"productivity" is a misnomer. Sort of. The things I'm building are all things I've had on the back burner for years. Most of which I never would have bothered to do. But AI lets me ignore that excuse and just do it.

ok_dad 43 minutes ago | parent [-]

The productivity comes from not having the startup costs. You don’t need to research the best way to do X, just verify that X works via tests and documentation. I find it still takes T hours to actually implement X with an agent, but if I didn’t know how to do X it eliminates that startup cost which might make it take 3T hours instead.

The only downside is not learning about method Y or Z that work differently than X but would also be sufficient, and you don’t learn the nuances and details of the problem space for X, Y, and Z.

abustamam 39 minutes ago | parent [-]

I find it useful to use a brainstorming skill to teach me X Y Z and help me understand the tradeoffs for each, and what it'd recommend.

I've learned about outbox pattern, eventual consistency, CAP theorem, etc. It's been fun. But if I didn't ask the LLM to help me understand it would have just went with option A without me understanding why.