> LLM’s are fundamentally text generators, not verifiers.

In reality they work quite well for text and numeric (via tools) analysis, too. I've found them to be powerful tools for "linting" a codebase against adequately documented standards and architectural guidance, especially when given the use of type checkers, static analysis tools, etc.

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skydhash 5 days ago | parent [-]

The value of an analysis is the decision that will be taken after getting the result. So will you actually fix the codebase or it’s just a nice report to frame and put on the wall?

	▲	CharlesW 5 days ago \| parent [-]
		> So will you actually fix the codebase… Code quality improvements is the reason to do it, so yes. Of course, anyone using AI for analysis is probably leveraging AI for the "fix" part too (or at least I am).