In empirical sciences, you not only have to have a mathematically valid theory, but you also have to check if the theory fits reality by making predictions and experimentally checking them with the real world. It's the same now in Computer Science, there are so many places where theoretical assumptions might deviate from reality that having a proof is not enough. In fact, you have to have those assumptions to make things mathematically tractable. Imagine mathematicians or computer scientists re-proving real analysis theorems using floating point arithmetic...
In other words, your vision of proofs being enough as long as all the assumptions are part of the theory, seems utopian to me. In fact, even some of the most devoted advocates of correctness proofs have admitted this: