Ask HN: How do you review gen-AI created code?
There are some opinions that using LLMs to write code is just a new high level language we are dealing in as engineers. However, this leads to a disconnect come code-review time, in that the reviewed code is an artifact of the process that created it. If we are now expressing ourselves via natural language, (prompting, planning, writing, as the new "programming language"), but only putting the generated artifact (the actual code) up for review, how do we review it completely?
I struggle with what feels like a missing piece these days of lacking the context around how the change was produced, the plans, the prompting, to understand how an engineer came to this specific code change as a result. Did they one-shot this? did they still spend hours prompting/iterating/etc.? something in-between?
The summary in the PR often says what the change is, but doesn't contain the full dialog or how we arrived at this specific change (tradeoffs, alternatives, etc.)
How do you review PRs in your organization given this? Any rules/automation/etc. you institute?