LLMs might make you feel faster (which helps with motivation!) and help with some of the very easy stuff but the critical part of your anecdote is that you haven't actually completed the extra work. The projects are only "NEARING" completion. I think that's very telling.

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victorbjorklund 3 hours ago | parent | next [-]

If the easy things are done faster you xan spend more time on the hard stuff. No need to spend 2 hours on making the UI for the MVP when an AI can make a decent UI in 2 min. Means you have 2 hours more to spend on the hard stuff.

	▲	SpicyLemonZest 2 hours ago \| parent [-]
		Unless, as is often the case in my experience, the hard stuff consists largely of fixing bugs and edge cases in your implementation of the easy stuff. I've seen multiple people already end up forced back to the drawing board because their "easy stuff" AI implementation had critical flaws they only realized after they thought they were done. It's hard to prove counterfactuals, but I'm pretty confident they would have gotten it right the first time if they hadn't used AI, they're not bad engineers.

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fluidcruft 3 hours ago | parent | prev [-]

Congratulations! You repeated my joke? lol

But in all seriousness, completion is not the only metric of productivity. I could easily break it down into a mountain of subtasks that have been fully completed for the bean counters. In the meantime, the code that did not exist 2 months ago does exist.