Script Flags Risky AI-Generated Code Changes Before Human Review

A new developer guide proposes inspecting the structural shape of AI model-generated code diffs before reading individual lines, arguing that test suites alone can miss costly changes. The approach uses three built-in Git commands — git diff --numstat, --summary, and --check — to surface deletions, mode changes, binary files, and high-churn rewrites. A companion shell script called diff_autopsy.sh automates this by producing a per-file churn table and flagging suspicious patterns such as zero-addition files and low-similarity renames. A decision table then helps reviewers prioritize the riskiest files, such as deleted test files or removed seed data, before approving a patch. The method requires no external APIs or services and works across any branch or Git host.