Guides 6 min
AI code review's absence blindness: measure what it misses
Teams reviewing a growing volume of AI-generated code need to score what a reviewer fails to notice, not only what it flags. A measurable protocol.
Topic · 5 articles
Aigeneratedcode
Guides 2 min
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.
Guides 2 min
Who reviews the AI-generated code before the human does?
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.
Guides 2 min
Reviewing the surge in AI-generated code: what scales and what breaks
AI is producing more code than teams can review. First-party data on why the old loop breaks (Salesforce, DORA) and what actually scales.
Guides 3 min
Reviewing the volume of AI-generated code: the problem is routing, not speed
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.