plan-swarm-review

Run a multi-agent code review by orchestrating multiple independent reviewers with different personas to increase stochastic coverage, surfacing subtle bugs and integration gaps before implementation. The swarm decomposes the target into aspects like data flows and security for deep, focused analyses.

Multisampling in plan review is the process of launching multiple independent reviewers to increase stochastic coverage and surface diverse findings. You need it for pre-implementation architecture hardening, high-stakes infrastructure reviews, and pre-release vulnerability hunts on complex design docs.

Deduplicate consensus findings from parallel security audits by synthesizing results to merge overlapping issues while preserving unique minority findings. The iterative synthesis and fix loop applies concrete fixes and re-runs rounds until acceptance thresholds are met.

Yes, you can use agent orchestration to review ADRs and RFCs for high-stakes releases. The swarm conducts iterative multi-agent reviews of pre-implementation design docs, applying focused decomposition to break plans into aspects like contracts and data flows for deep analysis.

Plan-swarm-review works with both existing code modules and pre-implementation design documents. It applies iterative multisampling and focused reviews to complex systems with multiple interacting components, returning a synthesized findings report with deduplicated consensus and minority catches.

Single-pass code reviews suffer from blind spots in design and code reviews, missing subtle bugs, ambiguous contracts, security issues, and integration gaps. Iterative multisampling overcomes this by running multiple independent reviewers and re-running guided fix-apply rounds until acceptance thresholds are reached.