100%, poorly architected software is really difficult to make secure. I think this will extend to AI as well. It will just dial up the complexity of the code until bugs and vulnerabilities start creeping in.

At some point, people will have to decide to stop the complexity creep and try to produce minimal software.

For any complex project with 100k+ lines of code, the probability that it has some vulnerabilities is very high. It doesn't fit into LLM context windows and there aren't enough attention heads to attend to every relevant part. On the other hand, for a codebase which is under 1000 lines, you can be much more confident that the LLM didn't miss anything.

Also, the approach of feeding the entire codebase to an LLM in parts isn't going to work reliably because vulnerabilities often involve interactions between different parts of the code. Both parts of the code may look fine if considered independently but together they create a vulnerability.

Good architecture is critical now because you really need to be able to have the entire relevant context inside the LLM context window... When considering the totality of all software, this can only be achieved through an architecture which adheres to high cohesion and loose coupling principles.