Dev Tools · 2h ago
Multi-model consensus catches AI 'thinkslop' in code reviews
A developer warns that single AI models produce hollow code that looks correct but has logical flaws. He built NexaVerify, a local engine that runs code through 8 models and surfaces disagreements. The tool found a month-old bug in its own 26k-line codebase that GPT had missed.
Meridian48 take
The article's core insight—that AI code review needs multi-model consensus—is valid, but the author's own tool is unproven beyond his anecdote.
ai-code-reviewmulti-model-consensus