It is ironic that in the gpt-4 era, when we couldn't see much value in this tools, all we could hear was "skill issues", "prompt engineering skills". Now they are actually quite capable for SOME tasks, specially for something that we don't really care about learning, and they, to a certain extent, can generalize. They perform much better than in gpt-4 era, objectively, across all domains. They perform much better with the absolute minimum input, objectively, across all domains. If someone skipped the whole "prompt engineering" and learned nothing during that time, this person is more equiped to perform well. Now I wonder how much I am leaving behind by ignoring this whole "skills, tools, MCP this and that, yada yada".