His concern is simple: If AI increases code volume by 10x, human review becomes a fatal bottleneck. He predicts technical debt will explode because humans can’t mentally verify that much logic that quickly. My concern is as competitors,clients, etc are able to release code quickly then we need to be faster on our product - clients expectations are increasing.
How do handle this? I know one option is to slow down releases but is there any other approaches people are taking.
If the human is the bottleneck the logical step is to use a different AI to review the code produced by the original AI. You can even use two different AIs to review the code generated by the first one and accept the code if both agree it does not have bugs. I doubt this will guarantee a high quality product, but it is the solution to doing all your code with AI.
The prudent choice would be to push any generated code to production only after it was tested and reviewed by an experienced human programmer.
I work at a security focused company, top in the entire industry, and blaming AI is not allowed. We use AI, even integrated inside our product, but we aren't ignorant. AI can and will write bad and broken code.
Stop caring what the code looks like, and start caring about what the code does.
qubex•13h ago
gus_massa•9h ago