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Your AI reviewer is judging its own output. That's a blind spot
Teams drowning in AI-generated code often let an LLM review the LLM's own patches. Amazon's judge-correlation work shows why that misses real defects.
Topic · 4 articles
Teams drowning in AI-generated code often let an LLM review the LLM's own patches. Amazon's judge-correlation work shows why that misses real defects.
The volume of AI-generated code is rising faster than review capacity. The fix starts in evaluation design: don't let the model that wrote the code also judge it.
AI is producing more code than teams can review. First-party data on why the old loop breaks (Salesforce, DORA) and what actually scales.
AI made PRs smaller but much more numerous. Reviewing the volume isn't a per-PR speed problem, it's a routing problem. Here's how teams actually triage AI-generated code.