Copying millions of other peoples work for a similar looking result excludes the design compromises every engineer must make during the process.
LLM don't think because it is not real "AI", and simply conflates every isomorphic vector search proximity output.
Auto-routers have existed for decades, and they do work in the trivial design cases... but are almost always a liability where design choices matter.
Best of luck =3
LLMs are not the same as auto routers that have existed for decades. They function completely differently and are capable of taking more context into account, all the way to fetching and reading data sheets and considering design compromises.
Sure, one is a conflated chaotic nonsense generator, and the other is a chaotic random walk local "fit" evaluator set by an now arbitrary cost function.
NP-hard is still NP-hard... and named problems are rarely solvable with naive approaches. Best of luck =3