Perhaps a meta evolution, they become experts at writing harnesses and prompts for discovering and patching vulnerabilities in existing code and software. My main interest is, now that we have LLMs, will the software industry move to adopting techniques like formal verification and other perhaps more lax approaches that massively increase the quality of software.
> Perhaps a meta evolution, they become experts at writing harnesses and prompts
Harnesses, maybe, but prompts?
There's still this belief amongst AI coders that they can command a premium for development because they can write a prompt better than Bob from HR, or Sally from Accounting.
When all you're writing are prompts, your value is less than it was before., because the number of people who can write the prompt is substantially more than the number of people who could program.
Also, synthetic data and templates to help them discover new vulnerabilities or make agents work on things they're bad at. They differentiate with their prompts or specialist models.
Also, like ForAllSecure's Mayhem, I think they can differentiate on automatic patching that's reliable and secure. Maybe test generation, too, that does full coverage. They become drive by verification and validation specialists who also fix your stuff for you.
Outside of limited specific circumstances, formal verification gives you nothing that tests don't give you, and it makes development slow and iteration a chore. People know about it, and it's not used for lot of reasons.
This statement shows an intense lack of technical knowledge. You’re probably one of those ignorant managerial types.
First type checking is a form of formal verification and it’s used everywhere. Second have you heard of rust? Do you know why it’s becoming an alternative to C++ or C? Entirely because of its type checker or aka formal verification. It is the literal main reason why rust was created.
Have you heard of typescript? It’s essentially a formal verification layer over JavaScript. Everyone uses it now for the front end.
You don’t know what you’re talking about. I recommend you do some research before saying anything on this site.
