The most dangerous failure mode here is the “valid but meaningless” result. A parser accepting a property or a compiler accepting code only proves that the structure is legal; it says nothing about whether the system actually changed in the intended way.
I especially like the distinction between checking the explanation and checking the observable outcome. Version-pinning, reducing to a minimal reproduction, diffing the result, and verifying against the primary source create a much stronger validation loop than asking another model whether the first answer looks correct.
The silent-failure numbers are a useful reminder too: when AI-generated technical advice can fail without producing an error, testing isn't the final step after reasoning it has to be part of the reasoning loop itself.
The most dangerous failure mode here is the “valid but meaningless” result. A parser accepting a property or a compiler accepting code only proves that the structure is legal; it says nothing about whether the system actually changed in the intended way.
I especially like the distinction between checking the explanation and checking the observable outcome. Version-pinning, reducing to a minimal reproduction, diffing the result, and verifying against the primary source create a much stronger validation loop than asking another model whether the first answer looks correct.
The silent-failure numbers are a useful reminder too: when AI-generated technical advice can fail without producing an error, testing isn't the final step after reasoning it has to be part of the reasoning loop itself.