I can see what you mean by LLMs making the same mistakes. I had that experience with both GPT and Claude, as well.

However, I found that GPT was better able to correct its mistakes while Claude essentially just doubles down and keeps regurgitating permutations of the same mistakes.

I can't tell you how many times I have had Claude spit out something like, "Use the Foobar.ToString() method to convert the value to a string." To which I reply, something like, "Foobar does not have a method 'ToString()'."

Then Claude will say something like, "You are right to point out that Foobar does not have a .ToString method! Try Foobar.ConvertToString()"

At that point, my frustration levels start to rapidly increase. Have you had experiences like that with Claude or DeepSeek? The main difference with GPT is that GPT tends to find me the right answer after a bit of back-and-forth (or at least point me in a better direction).