alt Hacker NewsI don't think there will ever be a way to "steer" an LLM such that it produces the correct output 100% of the time. You can certainly context engineer your way to better outputs, but you can never reduce to 0 the possibility of the LLM making a mistake, due to inherent limitations of the LLM (perhaps what you ask of it wasn't RL'd during its training), but especially due to the fact that it will often misunderstand requirements and make unjustified assumptions.
So, no, you will never be able to produce code automatically. You can and certainly should use AI as a code assistant to write code faster, but the human should always 1) make all important architectural decisions and 2) carefully review the outputted code
The human bottleneck is necessary.
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> I don't think there will ever be a way to "steer" an LLM such that it produces the correct output 100% of the time.
You cannot do that with humans either.
Not correct but you can plan in the mistakes. E.g: I designed a modular monolith where each module is strongly decoupled so an LLM can work on it individually and if it breaks it can be ripped out and replaced without damage to the rest of the system.
So the system accounts for mistakes and has protocols for removing bad modules/code.
If part of the system go down the rest will remain functional
Edit: and yes audits are part of the pipeline