I think I have a different perspective on this because I've worked in places that do care about that sort of thing on tools that do focus on those sorts of things. I think the long term incentive for these tools to address tech debt as a goal comes from the AI eval benchmarks trending towards being saturated. The advantages of one tool over another will be in the longer context things. This naturally will tend to start to act as a forcing function for training to focus on the longer tail of software development. A good way of thinking about this is GPT 3.5 was good at dealing well with lines of code and functions, 4 was functions, small apps, 5 seems adept at delivering apps and systems, 6 will be systems and whole enterprised programs of work.