Curious how to achieve and what mechanism was used "For each review, it now indicates how much human attention the change still deserves after AI has done the first pass."?
Attention is the amount of human scrutiny required before an artifact should be trusted, approved, merged, published, or acted on.
It is not the severity of any single finding. It is not the verdict. A high-attention artifact can still be LGTM after careful review. A low-attention artifact can still request changes if a clear issue is found.
Attention should be based on blast radius, reversibility, observability, verification difficulty, evidence quality, and whether the artifact changes future engineering understanding.
Curious how to achieve and what mechanism was used "For each review, it now indicates how much human attention the change still deserves after AI has done the first pass."?
Prompt it:
Attention is the amount of human scrutiny required before an artifact should be trusted, approved, merged, published, or acted on.
It is not the severity of any single finding. It is not the verdict. A high-attention artifact can still be LGTM after careful review. A low-attention artifact can still request changes if a clear issue is found.
Attention should be based on blast radius, reversibility, observability, verification difficulty, evidence quality, and whether the artifact changes future engineering understanding.
Can refer to full prompt: https://gist.github.com/zhuochun/f1dc368a82e20f063e9f0436272af335