For all the talk about AI making teams super productive, I don't see much talk about AI improving software quality.

It's a shame, though, because I believe there is a lot of potential there.

I mean, quality is easier with the right tooling (monitoring, linters, property-based tests, theorem prover...). But, given limited resources, it can feel difficult to prioritize investing in quality when business is pressing devs to ship, ship, ship.

But now the cost of writing custom tooling has changed. These custom tools might be sloppy because vibe-coded but we wouldn't have them otherwise! Or we might finally have decided to make that investment after too much time suffering from their absence. Now the cost/benefit changed, so why not invest now?