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Had the same research issue from multiple models. The website it linked existed and was relevant but often the specific page was hallucinated or just didn't say what it said it did.
In the end it probably created more work than it saved.
Also a programmer and i find it OK for small stuff but anything beyond 1 function and it's just unmaintainable slop. I tried vibe coding a project just to see what i was missing. Its fine, it did the job, but only if I dont look at the code. Its insecure, inefficient, and unmaintainable.
I agree, I assumed this error was LLM related not Qwen itself. I think LLMs aren't able to fit the referenced URL within the text extracted from it. They probably do some extensive research (I remember it searched like 20-40 sites), but it's up to the LLM if it'll use an exact mention of a given web page or not. So that's the problem...
Also it's a complete mess to build frontend, if you ask a single landing page or pretty common interface it may be able to build something reasonable good, but for more complex layouts it'll struggle a lot.
I think this happens because it's hard to test interfaces. I never got deep into frontend testing but I know there are ways to write actual visual tests for it, but the LLM can't assimilate the code and an image easily, we'd need to take constant screenshots of the result, feed it back to the LLM and ask it to fix until the interface matches what you want. We'd need a vision capable mode more a coding one.
I mean you may get good results for average and common layouts, but if you try anything different you'll see a huge struggle from LLMs.