This is vaguely possible eventually but as you know DevOps is incredibly fragile. You can't just get close you need the exact correct commands to merge repos, build the codebase, run unit tests etc.

This isn't really automatable with current or plausible future AI ML tech. Note I do work in AI, have also done some DevOps, and am very enthusiastic about AI/ML for task spaces where the goal is clearly defined, the task environment can be adequately simulated, and performance is differentiable.

For example a robot moving boxes in a warehouse fits that criteria. It's relatively simple what the goal is and what not to do, and expressible in a robust sim. DevOps has many many subtle consequences and you need the solution to get every relevant detail right.

Software that code translates from one language to a faster language without loss of correctness is also possible a similar way.