alt Hacker NewsYou can trust them to flag some things during review that may or may not be relevant. But just like with human review and unit testing, you cannot guarantee the absence of bugs after an LLM code review. It's just another set of (virtual) eyeballs.
You can trust them to flag some things during review that may or may not be relevant. But just like with human review and unit testing, you cannot guarantee the absence of bugs after an LLM code review. It's just another set of (virtual) eyeballs.
I trust them somewhat to flag bugs. I don't trust them to produce clean, maintainable code - even code maintainable by the LLM itself. Any sufficiently complex LLM changeset can be assumed to contain duplicated logic, method scope creep, and code changes without accompanying documentation changes that the model often will not catch no matter how many rounds of review you run. If those issues make it into a commit, the next time you ask the LLM to update some of the functionality that it introduced earlier, bugs will creep in.