Dev Tools · 1h ago
Multi-Agent AI Code Review Tribunal Boosts Accuracy by 12.5 Points
A developer built ShiftLeft Society, a multi-agent AI code review system where agents negotiate disagreements using a deterministic cost model. In a 40-case benchmark, it scored 95% accuracy versus 82.5% for a single-agent baseline. The system reduces false positives by forcing agents to spend a budget to defend their severity ratings.
Meridian48 take
The approach cleverly separates LLM reasoning from deterministic scoring, making audits possible, but its real-world impact depends on how well the cost model generalizes beyond the hackathon benchmark.
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