How is one supposed to adhere to a managerial / leadership instruction of "use AI for everything" but even more than that: "you shouldn't be writing code by hand"?
It feels like this is a Russian roulette scenario. As long as you have the right harness, framework, skills, prompt, etc. to make the output as deterministic as possible AND know exactly what you're supposed to be building: you get a great output that meets acceptance criteria & solves the problem.
None of this is standardized and concrete tasks don't currently have predictable pricing (i.e., "Two new CRUD endpoints with tests are $1.43"). So what's stopping performance reviews from valuing what you can deliver ONLY with AI rather than what you can deliver with AI assistance?