High-Signal AI Code Review: A Multi-Agent Blueprint

Join Qodo’s Co-founder and CPO Dedy Kredo and Research Lead Bar Fingerman for a deep dive into how Qodo delivers high-signal, context-aware code review using a multi-agent architecture built for enterprise teams.

Topics covered:

The Quality Crisis in AI-Driven Development

Why faster code generation creates new challenges for code review, and why single-agent approaches fall short when it comes to attention, context windows, and precision at scale.

Why Context Engineering Matters

How Qodo builds “mental alignment” before analyzing code, synthesizing PR descriptions, ticket context, commit history, and codebase knowledge to understand intent, not just implementation.

Multi-Agent Architecture: Mixture of Experts

The system design behind Qodo’s code review: specialized agents working in parallel (bug detection, rule enforcement, requirements validation), coordinated by an orchestrator, and filtered through a “judge” layer that personalizes findings for your team.

Continuous Learning and PR History

How Qodo treats PR history as organizational knowledge, indexing past decisions, review discussions, and failure patterns to inform every new review with context that matters.