I recently started using AI for personal projects, and I find it works really well for 'spike' type tasks, where what you're trying to do is grow your knowledge about a particular domain. It's less good at discovering the correct way of doing things once you've decided on a path forward, but still more useful than combing through API docs and manpages yourself.

It might not actually deliver working things all that much faster than I could, but I don't feel mentally drained by the process either. I used to spend a lot of time reading architecture docs in order to understand available solutions, now I can usually get a sense for what I need to know just from asking ChatGPT how certain things might be done using X tool.

In the last few days, I've stood up syncthing, tailscale with a headscale control plane, and started making working indicators and strategies in PineScript, TradingView's automated trading platform. Things I had no energy for or would have been weeklong projects take hours or a day or so. AI's strengths synergize really well with how humans want to think.

I just paste an error message in, and ChatGPT figures out what I'm trying to do from context, then gives me not just a possible resolution, but also why the error is happening. The latter is just as useful as the former. It's wrong a lot, but it's easy to suss out.