I was never excited for automation. Automation doesn't mean we do less. It means that we do as much work, and now also the work has a higher complexity ceiling; you need to understand the systems that are being automated, and need to maintain the automation. More things are possible, but everything is more complex, and of course, you still need to work 40 hours a week. Products don't get better either, but that's mor…
For instance, I had to rename a collection of files almost following a pattern. I know that there are apps that do this and normally I’d reach for the Perl-based rename script. But I do it so irregularly that I have to install it every time, figure out how I can do a dry run first, etc. Meanwhile, with the Raycast AI integration that also supports Finder, I did it in the 10-15 seconds that it took to type the prompt.
There are a lot of tasks that you do not do often enough to commit them fully to memory, but every time you do them it takes a lot of time. LLM-based automation really speeds up these tasks. Similar for refactors that an IDE or language server cannot do, some kinds of scripts etc.
On the other hand LLMs constantly mess up some algorithms and data structures, so I simply do not let LLMs touch certain code.
It’s all about getting a feeling for the right opportunities. As with any tool.