Skip to main content

Qodo Multi-Agent Code Review Simulator

· One min read
VictorStackAI
VictorStackAI

qodo-multi-agent-code-review-demo is a Python-based simulator that demonstrates the multi-agent architecture recently introduced by Qodo (formerly CodiumAI). It showcases how specialized AI agents—focused on security, performance, style, and bugs—can collaborate to provide high-precision code reviews.

The project implements a ReviewCoordinator that orchestrates multiple domain-specific agents. Each agent uses targeted heuristics (representing specialized training) to identify issues and suggest fixes. By separating concerns into distinct agents, the system achieves better precision and recall than a single general-purpose model, mirroring the architecture behind Qodo 2.0.

A technical takeaway: multi-agent systems thrive on structured communication. Using a unified Finding model allows the coordinator to aggregate and prioritize feedback seamlessly, ensuring that critical security vulnerabilities aren't buried under style suggestions.

View Code

View Code