speedwave-code-review

To run a parallel code review on a pull request, invoke the skill to launch 13 specialized review agents that analyze changed files and diffs across multiple domains, finally compiling their findings into a concise, aggregated summary.

Multi-agent code review uses parallel LLM agents to analyze pull request diffs across architecture, tests, and security domains, aggregating their responses to deliver a comprehensive quality sweep before merging.

Yes, automated code review can check security and documentation in one pass by deploying specialized agents that simultaneously analyze code structure and diffs across these domains before generating a consolidated report.

The best way to orchestrate sub-agents for pull request reviews is using a structured workflow that determines scope, runs parallel reviews across 13 agents, waits for completion, and gracefully handles failures while generating an aggregated report.

Yes, parallel code review handles agent failures gracefully during aggregation by coordinating the multi-agent workflow to wait for completion and still deliver a concise, aggregated summary of the specialized review findings.

You need to orchestrate multiple specialized agents for code structure analysis when performing a comprehensive pre-merge quality sweep, ensuring exhaustive coverage across documentation, architecture, tests, and security domains simultaneously.