I don’t review all the code generated by an LLM, just like I’ve never read all the code in libraries I use.
I see AI-assisted software development as just another step up the stack. My goal in development is to solve a problem. I look for the most appropriate tools to solve that problem in the most reasonable way possible. For my entire career, that’s included using plenty of libraries that I didn’t write and don’t fully understand. It’s been abstracted away from me, so I can simply “look at the output” and move onto the next step to solve my problem.
To me, AI-assisted dev is very similar. The key difference being that the LLM is “producing” the “library” on the fly, customized to the prompts and context. So it hasn’t gone through the rigor that a properly reviewed and maintained OSS library has gone through. But then again, the models generating the code were trained on essentially all OSS that could be found, so in theory it builds on the collective principles.
I read the code if I’m curious, or if I’m feeling frustrated and in a mood to debug. But if the output looks good and it solves a problem, I’m moving onto the next one. I don’t expect it to be perfect. Software has had and always will have bugs.