> Is anyone actually getting value out of these models?

I've found incredible value in having LLMs help me write unit tests. The quality of the test code is far from perfect, but AI tooling - Claude Sonnet specifically - is good at coming up with reasonable unit test cases after I've written the code under test (sue me, TDD zealots). I probably have to fix 30% of the tests and expand the test cases, but I'd say it cuts the number if test code lines I author by more than 80%. This has decreased the friction so much, I've added Continuous Integration to small, years-old personal projects that had no tests before.

I've found lesser value with refactoring and adding code docs, but that's more of autocomplete++ using natural language rather than AST-derived code.