I’ve been experimenting with this a bit too. For small utilities and scripts it definitely speeds things up, especially when the requirements are clear. But once it touches an existing codebase or production systems, I still feel more comfortable writing most of it myself and just using AI for suggestions or quick scaffolding.
The review part you mentioned is interesting though. When a big chunk of code is AI-generated, I think the focus shifts more toward understanding the logic and potential edge cases rather than just style or structure. Curious to see how teams eventually standardize this.