Sonar CTO on Why AI-Reviewing-AI Shares Blind Spots, and the 'CAP Theorem' of Code Verification
Summary
Deep dive with Sonar CTO Andrea Malagodi on code verification as a layered 'filter stack' (type checks -> tests -> human review -> production monitoring), the DORA/METR data showing AI-assisted tasks taking longer despite perceived speedups, a study finding AI-generated code introduces a known security flaw ~45% of the time, and the core risk that a reviewer model built like the generator model shares its blind spots.
Why this signal
One of the most substantive AI-code-review pieces this cycle — directly matches Neo's confirmed-high-signal calibration on 'AI code review culture, data, and tooling,' with a named practitioner framework (the verification CAP theorem) that's genuinely liftable for how Thomas Engineering thinks about CodeRabbit-style tooling limits.
Original email
ByteByteGo · 8/24/2026
Why Code Verification Matters More Than Ever in the Age of AI