It gave me the numbers for the various trials. I don't have them handy and I didn't run them manually - so the AI could totally have made it all up. I did not keep the numbers so I have nothing to share.

Sure - it's just a hypothesis.

I do not recall the details! But I did watch as the damn AI did repeat wall clock and sample tests to see where the time was going and try 2-4 different approaches and clocked each one in detail. I felt embarrassed because I *could* do all that and certainly had done it in the past - but it would have taken me a *long* time to set up each tests and analyze the results and try over and over and track the results for each.
As you imply - none of this is particularly tricky - it's mostly just labor intensive and time consuming. And those are both things that AI has no trouble with.

Related - when I tell an agent to optimize for performance - especially if the request is well targeted - it does an *amazing* job. Doing performance work is so well defined and described that it can follow the patterns and do all the checks and get it really right. To do a good job it's really repetitive and there are often a lot of angles to check and .. it just does it really well.

The local teleco switched to Fiber. I get 2Gbps up/down. + phone for $80 a month. I had Comcast Business for $200 a month, I had a 3 year contract for 160 the first year, then 180, then 200. Except it didn't stay that consistent. Their fees increased. the contracted base amount stayed the same.

So I'm saving 140 a month now. i may drop the phone and save another 30. And my speeds are better. So far I haven't had any issues.with reliability. 2 months of service, it's been up while I needed it.

I can't say that for Comcast either. Even on a business account, I had regular outages.

This is like Trump promising $5K if republicans win the midterms. It's just a PR stunt.

Imagine trying to reason out the tax implications of something like this. The privacy implications. Everything.

Elon: "I really wanted to, but lawyers wouldn't let me!"

No way to see that coming.

I'm still using Steam. Gabe hasn't done anything to abuse my trust.

I predict it could cost as much as $150 Billion!

Do I hear $200B? We're making shit up - go large!

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.

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.

I've got a black swan for ya!
I just shipped software that AI wrote [practically] entirely that I would not have shipped otherwise. I don't think I'm the only one.

Pfft. Morons. It is *super easy* to make predictions.

Accurate ones, however...

Yes, because users understand those kinds of choices.

Too soon!

now that's a throwback!

The U.S. should just open up all immigration from China. Better having them here than hitting the beaches of Taiwan.

I thought it was US waste being our team who is monitoring it.