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Comment Re:Bad study (Score 1) 86

My day job is a (saas) app that's about 20 years old and has been worked on continuously by a team that has varied in size from about 5 to now about 15. It is complicated and connects to several external services. There are parts of the app that are too hairy for AI to reason about. But we have found, recently, that AI is surprisingly good at explaining how some rather complicated (but well written) parts of the app work.
The 2-3 really hairy parts of the app are written in an arbitrarily complicated way that I would never have used and long to rewrite - but they work. Nobody on the team is happy with it - and there is no corporate memory of anyone being happy working with these parts.
We have exceptional test coverage (>95% by lines), so it's just a matter of time before we decide to lay out an AI agent team to rewrite some of the horrible stuff in a way that is much more palatable to both human and agent. This is not something I would have suggested as possible 4-6 months ago.

Comment Re:Bad study (Score 1) 86

But how do you plan to maintain this software? That's the real effort of software engineering.

I'm not sure how to answer that question. My flip answer is "the usual way." But nothing about software is the usual anymore.

100% of the code that .. makes up this project is code that I did not write. But I absolutely told AI what I wanted and in many cases *how* I wanted it. And any code that had "interesting" design elements is code that I reviewed and in some cases told AI to change. Where interesting refers to meaningful architectural decisions.

At this point it is a very light project - somewhat less that 10K lines of code. It is in its minimal viable product phase - and I imagine it will grow to be more than 15 or even 20K LOC. Eventually becoming projects on 3 distinct platforms and becoming substantially larger.

All of which is ridiculous. Fewer than 200 prompts so far, I'm sure. Maybe fewer than 100.

Comment Re:How did they measure nutrients from the 1960s? (Score 2) 130

Is the measurement methodology the same? Was the equipment equally sensitive? Could the difference be attributed to the differences in technology from the past 60 years?

I think so. I was but a tyke in that era, but I clearly remember my uncle bitterly complaining at the time: "We can put a man on the moon, but we still can't measure the nutrient levels in vegetables with sufficient accuracy!"

Life is so much better now.

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