One plausible future I can see from here is that we see a shift in our relationship to code in high-level languages that is similar to what happened with code written in assembly language back when the first high level languages were introduced. Before them, software engineers operated in assembly language. They cared about the structure of assembly code. This happened before I started my professional software career, but I can imagine that a lot of the same things we are hearing from developers today were heard back then. Concern about devs producing code they didn't understand, the generated assembly not being meant to be understood by others, etc etc.

Now, however, we know how that played out in the case of assembly language. The fact of the matter is that only a very tiny fraction of software engineers give the structure of the compiled assembly code even passing thought. Our ability to generate assembly code is so great that we don't care about the end result. We only care about its properties...i.e. that it runs efficiently enough and does what we want. I could easily see the AI software development revolution ending up the same way. Does it really matter if the code generated by AI agents is DRY and has good design if we can easily recreate it from scratch in a matter of minutes/hours? As much as I love the craft and process of creating a beautiful codebase, I think we have to seriously consider and plan for a future where that approach is dramatically less efficient than other AI-enabled approaches.