Rewriting it to something sane would be harder and more time consuming than just writing a decent implementation upfront.
Rewriting it to something sane would be harder and more time consuming than just writing a decent implementation upfront.
"Oh hey <boss>, can you update the status page to say we can't really understand the code and don't have an eta but but we're trying to talk the ai into correcting whatever the issue is?"
Now the critical point: what if my own quality is inferior to many others. I think we will have this issue a lot since LLMs can generated code at 10x speeds. The quality will be what the human operator sets. Or, maybe, more and more tools will adapt best practices as guardrails and do not give humans much option to steer away from them.
Reinventing this space but make it slow and expensive seems like it's not a serious business idea. I believe the business idea behind coding LLM SaaS is actually about looking into other corporations and seeing what they do and how.
Probably more that would irk me if I looked closely.
Edit: And more critically, a lot of work incoming for people that can teach software development.
But: if we reduce cost, then can we not add deterministic guardrails in software that are also maintained at LLM speed and cost? This is pretty much what I am trying to understand. Choice of Rust/TypeScript in my projects in very intentional and you may see why.