bee:requesting-code-review

Automate code review by dispatching six specialized AI agents in parallel to analyze code quality, business logic, security, testing, nil-safety, and consequences simultaneously. This ensures comprehensive feedback before merging changes to the main branch.

AI code review handles context by integrating pre-analysis tools like Mithril for static analysis and AST extraction. This provides the reviewer agents with deep contextual understanding of the code structure before evaluating potential issues.

Yes, you can use an iterative fix-and-review cycle where implementation agents fix identified issues and reviewers re-evaluate the code. This feedback loop continues until all code quality and potential impact standards are met.

The best way to check security and nil-safety is to use parallel specialized agents that specifically target these dimensions alongside business logic and testing. This provides targeted, comprehensive feedback on potential vulnerabilities and runtime errors.

No external dependencies are required to run the parallel AI code review process. The skill operates independently using its internal scripts and references to orchestrate the six specialized reviewer agents.