How long before we stop reading the code?
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AI-generated code is outpacing human review capacity, with teams merging 98% more PRs while review times climb 91%. Using AI to review AI-generated code introduces three failure modes: non-determinism, missing intent, and duplicate blind spots when the same model writes and reviews code. The proposed solution is to move the human checkpoint upstream — reviewing intent, specs, and acceptance criteria before code is written rather than reviewing diffs after. Roughly 75% of typical PR review comments can be codified into deterministic AST checks or execution tests, leaving only genuine judgment calls for humans and scoped LLM verifiers. The author's product, Aviator Verify, implements this intent-driven verification approach.
