Indeed - one of my biggest pet peeves is when organizations chronically avoid budgeting the time and resources to deal with their technical debt. Or when they lack leadership that is confident and bold enough to make the hard decisions to do so (which requires experience and reputation), or suffer a culture that doesn't tolerate some degree of risk-taking, with contingencies (particularly in schedule and blast radius containment) to safely deal with occasional failure on the road to improvement.

I'd love to reinvent computing from the ground up, stripping away the many patchwork layers of complexity we've accreted over time and applying an obsession for making each individual component uncommonly robust and engineered for clarity. I feel that kind of project would be a great candidate for human-written code. I think AI tools would make a great sounding board / linter / reviewer in such a scenario, but since they were trained on existing examples and legacy patterns I'm not convinced they'd be as good as a human at the actual constructing, in terms of what I'm optimizing for.

I personally tend to favor longer lead times and slower public ship pace (but not slower betas or delay in customer feedback) in order to maintain a higher bar of quality. Even if saying so out loud risks branding me heretical by some corners of Silicon Valley!