Can we neural networks to predict code change?

I have never studied theoretical computer science. However, I know a
few facts:
1. One can not predict bugs in a (digital/Turing computer) code through
brute force digital/Turing computation
2. Neural networks are not digital computers - and can solve somethings
Turing machine can not
3. Neural networks can learn chronological evolution of digital
entities and can predict (and might fail to predict always correctly)
4. Code is a graph (flow chart)

My question:
Is it theoretically possible to
A. Train a neural network about past and current code in form of change
in graph and
B. Ask it to predict what the next change could be?

Our brain predicts which module might fail next while maintaining a
large code base - with reasonable accuracy. Why can't it be done
through neural networks?

Thanks in advance,
-Bhu***

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