The hype levels are so overwhelming that AI coding could never hope to meet them. I've tried having a highly-ranked AI coding app write unit tests for a relatively complex codebase. 80% of the generated test cases failed. But an experienced human such as myself could use those as a starting point since it took care of some of the tedious boilerplate. It genuinely saved me some time and annoyance, but could never hope…
We have had a steep learning curve in prompt preparation (what we're doing is certainly not engineering), but Claude Code is now one-shotting viable PRs in our legacy codebases that are, well, good.
Saying LLMs are only good for boilerplate acceleration is so far from my experience that it sounds absurd.