I've "unchained" my LLM on a lot of problems that I probably could solve, but that would take me time I don't have, and that it has solved in many case faster than I could. It may not be good enough to solve problems that are beyond us for most of us, but it certainly can solve a lot of problems for a lot of us that have gone unsolved for lack of resources.
Unless you can show us concrete metrics and problems solved, I am inclined not to believe your statement (source: own intensive experience with the LLMs).
Exactly my experience too. Whoever says they're able to solve "very complex" problems with LLMs, is clearly not working on objectively complex problems.
I'm not usually micro-managing it, that's the point.
I sometimes do on problems where I have particular insight, but I mostly find it is far more effective to give it test cases and give it instructions on how to approach a task, and then let it iterate with little to no oversight.
I'm letting Claude Code run for longer and longer with --dangerously-skip-permissions, to the point I'm pondering rigging up something to just keep feeding it "continue" and run it in parallel on multiple problems.
Because at least when you have a good way of measuring success, it works.
