The agent can find the bug, but its patches are hard for humans to review. What would you change?

Instruction: Describe how you would improve reviewability in AI-generated patches.

Context: Tests how the candidate diagnoses the problem, chooses the safest next step, and reasons through recovery. Describe how you would improve reviewability in AI-generated patches.

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I would optimize for reviewability as a first-class output quality metric. That means smaller diffs, clearer commit-style explanations, explicit mapping from bug to fix, and avoiding unrelated cleanup in the same patch.

I would also make the agent show evidence: which files...

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