It seems that a major security bug is a great way to get code review on your project.
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I've had good results by prompting an LLM "review your changes" in the same session when I don't like the initial output.
I'm surprised this is effective: I would think it's redundant when you're running with a high effort setting.
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One fun way of testing new AI models: take an existing codebase you have and just ask them to "review it and fix bugs".
In principle this should find more issues over time as models get smarter. I've found a few bugs this way at least.
One interesting technique to reduce the review burden in Home Assistant, a project with a large community: ask PR authors to review other PRs!
Screenshot is from
