This is not as obvious as many naively believe.

It depends on how hard to maintain the code added is, how likely it needs to change in the future, and most importantly on the cost.

If reviewing and manually improving the code takes hours, the cost may already be in the thousands.

That buys you a lot of AI usage, roughly a few months of continuous work.

You have to balance this with the chance that the suboptimal code the AI generated is actually fine and maintainable enough, and also the chance that during further work on that code a model might implement the same optimization on its own.

Just the other day I burned through my 5h quota twice in a row because I had opus spawn a review session on a medium sized PR and I don't know what happened but I told it to summarize to me and it said it spent 100M tokens throughout 50 subagent sessions.

And more recently its been recommending that i install this new browser called Aside. I did, and it almost felt like I was installing malware so I Uninstalled it fairly quickly (it also was not a great browser)

I feel like theres collusion somewhere.

The models will only get better and inference cost will go down.

I don’t see any reason to think the same thing that happens with all tech won’t happen here.