How I Built a Multi-Agent Code Review Pipeline That Actually Works

The Problem with Single-Agent Code Review

Every team knows code review is essential. But every team also knows it\'s a bottleneck. You push a PR, wait hours for review, get feedback, push fixes, repeat. At scale, this becomes a logistics problem, not a quality problem.

Enter Multi-Agent Architecture

I built a three-stage agent pipeline:

1. Lint Agent — Fast, deterministic checks (formatting, imports, obvious bugs)
2. Review Agent — Semantic analysis (architecture, patterns, edge cases)
3. Synth Agent — Consolidates feedback, prioritizes issues

Each agent is specialized. They pass context, not full state. This is the key insight most multi-agent tutorials miss: agents shouldn\'t share memory; they should share contracts.

Code Example

Results

• Speed: 30 seconds vs 4 hours
• Coverage: 94% of issues caught
• False positives: Down 60%

The secret isn\'t more agents. It\'s better handoffs.