I remember anytime I would work with a big site on their performance problems, uh you could easily spend half a day, um you know, just looking at traces before you've even written any fixes at all. And now that we have LLMs, it's very quick to like reason through massive stack traces and actually be able to get down to fixes you can make.
And so if I say, "Hey, make this change." and the agent makes the change and then it runs the test and then they're broken and then it fixes the test. I have very high confidence the next change I asked it to make, it's going to follow that path again
So I think the the thing I'm most excited is actually like what we call like iterated loops or like slow loops where we basically have a cron job. We have the loop the the the structure of the loop is really easy. It's like run this llinter fix one thing commit and push and then we run that every night in our GitHub actions and we wake up every morning to one PR that makes the codebase a little bit better.
The job of product isn't to just receive a problem and ship the immediate solution. It's to absorb all the problems and understand that there's one solution you can ship to fix 50 different problems.
But but the thing is like doing programming languages, you come to realize it's a long play. I mean, if if you look back at the the stuff I worked on, it it it goes in 10-year cycles at least. And TypeScript didn't really, for example, or C# for that matter. I mean, it took it it takes 10 years to get to, you know, version one is great, but it has all sorts of issues, and then you got to do version two, and then it's not until version three that it really starts to be great.
This is not the same
world that you were part of. The complexity is off the chart; we are hidden
layers and layers under the scaffolding. And we are used everywhere.
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