AI can write a clean 900-line pull request before lunch. The hard part is not generating the code anymore; it is helping a tired reviewer understand what changed, what might break, and what evidence proves the work is safe.
That is where an AI code review packet helps. Instead of asking reviewers to reverse-engineer an agent's thinking from a diff, you attach a small, structured bundle of proof to every AI-assisted pull request.
This guide shows how to design that packet for production teams building AI features, agent workflows, and developer tools.
Why agent-written pull requests feel harder to review
Traditional pull requests carry hidden context. A human developer usually spends hours exploring the problem before opening the PR. By the time reviewers see the code, the author can explain tradeoffs, weird edge cases, and what failed during testing.
