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Lessons learnedExperience excerpt · English

In small startups, at the end of the day, if the team doesn't ship a quality product, the company …

… In small startups, at the end of the day, if the team doesn't ship a quality product, the company fails. Most importantly, every individual still bares the responsibility of their work. Personally, I've seen a lot of thoughtfulness around things like bad PRs because, on good teams, people realize we're all struggling to figure this out. But nonetheless, if something doesn't go well, there's always an individual that needs to figure out how to make it better. Virtually all the things I've learned about functionally shipping products built with and using AI have come from teams like this. Software engineering is changing, but for those of us shipping products, it reminds me a lot of the early webdev days when we were all trying to figure out the patterns to make this new world of software work reliably (anyone who recalls the pre-jQuery JavaScript days will remember how much we had to figure out before webdev could become what is today). …

Original discussionWhy is Meta destroying its engineering organization?618 source comments · at import
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TH

I think the gloating in this thread is very misguided. Meta is evil, sure, but that's not the point. The point is that this kind of AI psychosis might be the new normal for our industry, or at least one of the new normals. My last workplace absolutely did a jump in toxicity when the CEO got obsessed with AI, instituted token leaderboards, told us all to drop all non-AI work for a time, etc. We were no Meta.

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JA

I know at my company our leadership was quite indifferent to how AI was adopted and really relied on the ground level engineers to determine what AI was good for and how we can best make use of it. It was the engineers at the ground floor who I watched become religious about it. They have been the ones pushing for deeper and deeper tooling. They have been the ones convincing leadership that this is the future and so now, well, it's leadership who is saying, we want more adoption. This psychosis is happening at every level in our industry, and this isn't a big tech, or leadership problem. It's all our problems.

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SC

I'm actually worried that as AI gets smarter and more capable, it will become able to induce AI psychosis in even more people. Either accidentally or on purpose, I have no idea about that part.

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