I've heard something along the lines of "Claude is like a compiler: source code is the new object code, you don't look at that anymore" many times.

And I don't really think this is true. Compilers are usually deterministic, and whilst we can find edge cases, it's nothing like an AI agent writing all the code for you.

I think you have two choices, given the Claude is a code generator and not a compiler: (a) you review most or all of code to make sure it makes sense, or (b) you trust but verify via a strong test suite, potentially also created by Claude.

The problem with (a) is that you lose a lot of the speed-up. The problem with (b) is that you have no human oversight and the code may be incomplete, badly designed, or plain wrong.

Currently we review all code because correctness is extremely important to what we do, but that comes at a cost.

I don't know what the answer is here, in general. Does trust build over time? Do the models just get so good we can trust them to make zero mistakes?