> While we have millions of LOCs to train models on, we don’t have that for ASTs Agreed, but that could be generated if it made a big difference. I do complet

> While we have millions of LOCs to train models on, we don’t have that for ASTs Agreed, but that could be generated if it made a big difference. I do completely take your points around the instability of the AST and the length, those are important facets to this question. However, what I (and probably others) want is something much, much simpler. Merely (I love not having to implement this so I can use this word ;) ) check the code with the completion done (so what the AI proposes) and weight down completions that increase the number of issues found from the type-checking/linting/lsp process. Honestly, just killing the ones that don't parse properly would be very helpful (I've noticed that both Copilot and the DBX completers are particularly bad at this one).