Fixing bugs is the goldilocks zone for ai. Especially if you have a test that the agent can use to test their fix.

AI is not a junior developer, as some analogise, but Rain Man. Ultra autistic entity that can chew through way more logical conditions that you.

As long as you can describe the bug well ai will likely fix it. Logs help.

Let me give you specific example.

Here's a fix made by claude to my SumatraPDF: https://github.com/sumatrapdfreader/sumatrapdf/commit/a571c0...

I have a crash reporting system that sends me crash information in text file: callstack of crashed thread, basic os info and logs of this execution.

The way I (well, claude) fixed this bug is: I said "analyze crash report: <paste crash report>" and it does it in under a minute.

Recently I've fixed at least 30 bugs with this process (you can view recent checkins).

Those are crashes that I found hard to fix because even though by human standard I'm both expert developer and expert Windows API developer.

But I'm not an autistic machine that can just connect the dots between how every windows api works and how it ties to the callstack and information from the log, in under a minute.