Engineering: Code Review Swarm

Objective

Improve pull-request quality and reduce review latency for medium-complexity backend and frontend changes.

Architecture

Planner agent triages PR scope, reviewer agent inspects logic, test agent validates coverage/risk, evaluator agent gates merge readiness.

Tools and integrations

Version control API, CI status checks, lint/test outputs, and policy rule engine for risk scoring.

Baseline

Single-reviewer workflows created uneven review depth and delayed high-risk findings until late in the merge cycle.

Outcome

Faster first-pass feedback and fewer escaped defects when high-risk actions require explicit human approval.

Lessons learned

Clear reviewer role boundaries and explicit escalation criteria matter more than model size for reliable operations.

Related pages

Agent Roles and Collaboration · Swarm comparison · Design guide

Conversion path

Design your first swarm, then join early access for implementation updates.

Common questions

What improved quality most? Role specialization and explicit risk escalation checks improved quality more than adding more model calls.

Can small teams use this pattern? Yes, teams can start with two roles and add specialized reviewers as risk and volume increase.