I find AI is most useful at the ancillary extra stuff. Things that I'd never get to myself. Little scripts of course, but more like "it'd be nice to rename this entire feature / db table / tests to better match the words that the business has started to use to discuss it".

In the past, that much nitpicky detail just wouldn't have gotten done, my time would have been spent on actual features. But what I just described was a 30 minute background thing in claude code. Worked 95%, and needed just one reminder tweak to make it deployable.

The actual work I do is too deep in business knowledge to be AI coded directly, but I do use it to write tests to cover various edge cases, trace current usage of existing code, and so on. I also find AI code reviews really useful to catch 'dumb errors' - nil errors, type mismatches, style mismatch with existing code, and so on. It's in addition to human code reviews, but easy to run on every PR.

Wow, 30 minutes to rename functions and tests? I wonder how much energy and water that llm wasted for something that any lsp supporting editor can do in a second.

Nice, which reviewer do you use? I was using CodeRabbi now switched to LiveReview.